Search 622 Remote CKA Jobs

Senior Field Specialist - Data Platform

Remote United Kingdom

Business Area Sales EngineeringSeniority Level Mid-Senior levelJob Description At Cloudera we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community Cloudera advances digital transformation for the world’s largest enterprises. Are you passionate about making data and AI use cases accessible for enterprise clients? Cloudera is seeking a customer-facing hands-on Senior Field Specialist - Data Platform to join our team in the UK. In this pivotal role you'll leverage your deep technical expertise to empower our customers influence product direction and drive success across our most impactful use cases. If you thrive on creative freedom and shaping the future of data and AI we encourage you to apply. What You'll Bring (Qualifications) Proven experience leading and implementing mission-critical data use cases in industries such as Financial Services Retail Healthcare Public Sector etc. Proven experience in designing building and deploying enterprise-grade platforms using technologies such as kubernetes on premises object stores and distributed systems. Hands-on expertise with leading platform technologies like kubernetes Red Hat OpenShift Openstack Ceph Apache Ozone etc. Strong background in architecting production data platform deployments considering infrastructure security and networking in complex enterprise environments. Demonstrated ability to run Proofs of Concept (PoCs) and MVPs that lead to successful production deployments. Practical experience in designing and implementing data intensive use cases at an enterprise level including security and governance challenges. Exceptional presentation skills comfortable engaging with diverse audiences from engineers to senior executives. Ability to analyse customer workloads and define technical migration roadmaps tailored to their specific needs. As a Field Specialist - Data Platform You Will Lead customer engagements by designing and presenting data platform solution architectures and business outcomes to technical and executive stakeholders. Provide deep platform expertise throughout the sales cycle supporting PoCs solution sizing and adoption for new and existing customers (especially EMEA-specific use cases and scenarios). Troubleshoot and resolve complex technical issues providing guidance and leading escalations to ensure customer success. Drive internal and external technical enablement by exploring new technologies developing educational materials and sharing best practices. Influence product roadmap by translating customer feedback and EMEA-specific requirements into actionable insights for our product and engineering teams. Act as a Cloudera evangelist participating in community activities speaking at events and contributing to knowledge sharing. Collaborate effectively with cross-functional teams (Sales Product Engineering) to align on customer success and product vision. You'll Be Well-Positioned for Success If You Bring (Bonus Qualifications) Prior experience in pre-sales or technical consulting roles with a strong focus on big data & AI platform solutions. Direct experience with deployment of Red Hat OpenStack platform and kubernetes (Red Hat OpenShift) and advising customers/partners integration on technical solutions Experience with automation technologies especially Red Hat Ansible Automation Experience with and interest in open-source software and development practices Familiarity with Cloudera's AI and data platform components (e.g. Cloudera AI/CML CDP Data Services SDX). Relevant technical platform certifications (e.g. CKA). Working knowledge of the open-source data and AI ecosystem (e.g. Apache Spark Airflow Impala). Exposure to GPU-accelerated computing for deep learning and generative AI applications. This role is not eligible for immigration sponsorship What you can expect from us Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA LI-AW1 LI-Remote

Lead IT & Cloud Architect für Souveräne Cloud-Plattformen (m/w/d)

Leinfelden Echterdingen, Baden Württemberg, Germany

Über die Position Als Lead IT & Cloud Architect für unsere Souveräne Cloud-Initiativen übernehmen Sie eine Schlüsselrolle bei der Gestaltung der Zukunft hochsicherer und resilienter Cloud-Lösungen bei der T-Systems International GmbH. Sie tragen die technische Gesamtverantwortung für die Architektur Entwicklung und Implementierung komplexer Cloud-Plattformen mit einem starken Fokus auf Datensouveränität Skalierbarkeit und Interoperabilität. Ihre Aufgabe n umfassen den gesamten Lebenszyklus vom Entwurf wegweisender Open-Source-Cloud-Architekturen basierend auf Linux-Virtualisierung Kubernetes und CNCF-Projekten bis hin zur Sicherstellung ihres robusten Betriebs. Sie treiben Innovationen in Bereichen wie der Kubernetes -basierten Container-Orchestrierung Netzwerkvirtualisierung (SDN) und dem Bare-Metal-Provisioning voran. Ein entscheidender Aspekt Ihrer Rolle wird die Definition von Architekturstandards die Erstellung und Überprüfung von Go (Golang) -Code sowie die enge Zusammenarbeit mit verschiedenen Fachteams und dem Lead-Architekten auf Kundenseite sein. Darüber hinaus konzipieren Sie Immutable-OS-Stacks und designen sichere Air-Gap-Architekturen für Kubernetes-Bootstrapping-Prozesse was für Umgebungen mit hohen Sicherheitsanforderungen wie im Verteidigungssektor von entscheidender Bedeutung ist. Ihre Aufgabe n Als Lead IT & Cloud Architect agieren Sie als zentraler technischer Verantwortlicher für die Entwicklung Integration und Umsetzung komplexer Cloud-Lösungen im Rahmen von Produkt-Entwicklungsinitiativen – mit Fokus auf Kundenanforderungen Innovation Qualität und Wirtschaftlichkeit. Technische Gesamtverantwortung für die Architektur und Umsetzung einer souveränen Cloud-Plattform (IaaS-Servicemodelle Netzwerk Rechenleistung Speicher) Entwurf und Weiterentwicklung der Open-Source-Cloud-Architektur auf Basis von Linux-Virtualisierung Kubernetes und CNCF-Projekten Verantwortung für die Kubernetes-basierte Container-Orchestrierung und fortgeschrittene Orchestrator-Modelle Architekturübergreifende Integration von Netzwerkvirtualisierung und SDN-Konzepten Definition und Überwachung von Architekturstandards und Referenzarchitekturen Erstellung und Review von Go-Code sowie Definition klarer Arbeitspakete für Entwicklungsteams Enge Zusammenarbeit mit den Fachteams (Security Observability Storage/Netzwerk) und dem Lead-Architekten auf Kundenseite Konzeption und Architektur von Immutable-OS-Stacks auf Basis von Linux inkl. Secure Boot und PXE-basiertem Provisioning Design und Verantwortung für Kubernetes-Bootstrap-Prozesse in Air-Gap-Umgebungen (USB-ISO etcd-Initialisierung Cluster-Bootstrapping) Bewertung und Weiterentwicklung von Automatisierungslösungen für Bare-Metal-Provisioning und OS-Lifecycle-Management Ihr Profil Verständnis der architektonischen Konzepte von Cloud Computing IaaS-Servicemodellen (Netzwerk Rechenleistung Speicher) und Bereitstellungsmodellen (öffentliche private und hybride Clouds) Beherrschung von Open-Source-Cloud-Technologien wie Linux-Virtualisierungstechniken (QEMU-KVM Libvirt Cloud Hypervisor) und wichtigen CNCF-Projekten die in der Infrastruktur-Orchestrierung verwendet werden Vertrautheit mit Netzwerkvirtualisierung und SDN-Konzepten Fundierte Kenntnisse in der Entwicklung von Open-Source-Software einschließlich der Verwendung von Tools wie Git Methoden der kontinuierlichen Integration und Best Practices für die Zusammenarbeit Fundierte Kenntnisse in Kubernetes für die Container-Orchestrierung und fortgeschrittenen Entwicklungsthemen wie Orchestrator-Modellen Fähigkeit Code in der Programmiersprache Go zu erstellen und zu überprüfen Kenntnisse in der Erstellung detaillierter und klarer Arbeitspakete für Entwicklungsteams Erfahrung mit Immutable-OS-Konzepten (Linux oder vergleichbar) Secure Boot Chain und PXE-basiertem Bare-Metal-Provisioning. Kenntnisse in Kubernetes-Cluster-Bootstrap-Verfahren insbesondere in Air-Gap- und Offline-Szenarien (USB-ISO-Installation etcd-Initialisierung). Erfahrung in der Cloud-Architektur für Defense & Public Sector mit Fokus auf Datensouveränität und hohe Sicherheitsanforderungen. Deutschkenntnisse auf muttersprachlichem Niveau sowie sichere Englischkenntnisse in Wort und Schrift. Must-Have Skills Fundierte Kenntnisse in Kubernetes für die Container-Orchestrierung Fähigkeit Code in Go (Golang) zu erstellen und zu überprüfen Erfahrung mit PXE-basiertem Bare-Metal-Provisioning Kenntnisse in Air-Gap-Architekturen und Cluster-Bootstrap in solchen Umgebungen Nice-to-Have Skills Erfahrung im Umgang mit agilen Entwicklungsmethoden (z.B. Scrum Kanban) Kenntnisse in weiteren Programmiersprachen wie Python für Automatisierung und Skripting Zertifizierungen im Cloud Native Umfeld (z.B. CKA CKS) Erfahrung mit weiteren Konfigurationsmanagement-Tools (z.B. Ansible Puppet Chef) Vertrautheit mit Observability- und Monitoring-Tools (z.B. Prometheus Grafana) Was wir bieten Gestaltungsspielraum & Innovation Werden Sie Teil eines Teams das die Souveräne Cloud-Architektur bei T-Systems maßgeblich mitgestaltet und innovative Lösungen entwickelt. Flexibles Arbeiten Profitieren Sie von flexiblen Arbeitszeiten und modernen mobilen Arbeitsmodellen die eine gute Vereinbarkeit von Beruf und Privatleben ermöglichen. Persönliche Entwicklung Umfangreiche Weiterbildungs- und Schulungsprogramme um Ihre technischen Fähigkeiten kontinuierlich auszubauen und Ihre Karriere voranzutreiben. Attraktive Vergütung Ein wettbewerbsfähiges Gehaltspaket sowie zusätzliche Sozialleistungen (z.B. betriebliche Altersvorsorge Mitarbeitervergünstigungen). Moderne Arbeitsumgebung Arbeiten Sie mit neuesten Technologien und in einer kooperativen Atmosphäre in einem unserer Standorte oder remote. Teamgeist & Kultur Eine offene und wertschätzende Unternehmenskultur mit flachen Hierarchien in der Teamarbeit und gegenseitige Unterstützung großgeschrieben werden. Work-Life-Balance Angebote zur Förderung Ihrer Gesundheit und Ihr Wohlbefinden um eine ausgeglichene Lebensqualität zu gewährleisten. Über T-Systems International GmbH Bei T-Systems bieten wir unseren Geschäftskunden die richtigen Systemlösungen für ihr digitales Business. Mit unserem Portfolio stellen wir sicher dass digitale Transformation Komplexität reduziert Kosten einspart und die alltägliche Arbeit erleichtert. Unsere Schwerpunkte sind Konnektivität Digital Cloud & Infrastruktur sowie Sicherheit - Let's power higher performance! Dieser Job ist wie für Sie gemacht? Dann nutzen Sie Ihre Chance! Bewerben Sie sich bitte online. Schwerbehinderte Menschen werden bei gleicher Eignung vorrangig berücksichtigt. Wir freuen uns auf Sie! Die Bearbeitung Ihrer Bewerbung auf Stellenausschreibungen außerhalb der Deutschen Telekom AG kann auch außerhalb der Deutschen Telekom AG im europäischen Ausland erfolgen. Dies gilt auch für die Bearbeitung von Bewerbungen bei Tochtergesellschaften der Deutschen Telekom AG. Für unsere beamteten Mitarbeiterinnen und Mitarbeiter deshalb folgender Hinweis Sie sind nicht verpflichtet Ihrer Bewerbung personalaktenrelevante Unterlagen insbesondere Beamtenbeurteilungen beizufügen. Es bleibt Ihnen jedoch unbenommen diese Dokumente freiwillig zur Verfügung zu stellen. None None

Senior DevOps Engineer

" 100% Remote (WFH) Opportunity General Summary The Senior DevOps Engineer is a key member of the IT Operations team responsible for designing automating and maintaining the infrastructure and CI/CD systems that enable reliable secure and efficient software delivery across the organization. This role operates at the intersection of cloud infrastructure container orchestration and developer experience—ensuring that development QA data and application teams can ship with confidence. Reporting directly to the IT Operations Director this engineer will own critical systems including OpenShift/ROSA clusters on AWS Jenkins and GitHub Actions pipelines Argo-based GitOps workflows and a multi-cluster observability stack built on OpenTelemetry. The ideal candidate brings deep hands-on experience with Kubernetes at scale AWS infrastructure as code and CI/CD pipeline design—combined with the judgment and communication skills to collaborate effectively across a broad set of cross-functional teams. Essential Duties And Responsibilities Infrastructure & Cloud Design provision and maintain AWS infrastructure using Terraform including VPCs IAM roles (IRSA) PrivateLink Route 53 S3 RDS etc. Leverage deep proficiency in Terraform and Ansible to grow the organization's infrastructure-as-code footprint across current and future platforms — using Terraform to provision and define infrastructure and Ansible to configure tune and operationalize it. Operate and maintain Red Hat OpenShift (ROSA) clusters on AWS including upgrades operator lifecycle management and platform-level troubleshooting. Implement and enforce Infrastructure-as-Code (IaC) practices across all environments ensuring consistency security and repeatability. Manage cross-account AWS patterns including IAM role chaining S3 replication and security services (GuardDuty CloudTrail). CI/CD & Automation Own and improve Jenkins pipelines end-to-end including Jenkinsfile development Ansible playbook integration and credential management. Build and maintain GitHub Actions workflows including reusable workflow templates composite actions OIDC-based AWS auth and enterprise policy configuration. Manage and evolve ArgoCD-based GitOps deployment workflows including ApplicationSets and multi-environment promotion strategies. Automate operational processes across Linux and Windows targets including certificate rotation AD group management and environment provisioning. Observability & Reliability Configure and maintain the observability stack (OpenTelemetry Collectors Prometheus etc.) across multiple clusters. Define and implement SLIs SLOs and actionable alerting to support reliability goals and reduce mean time to detection. Develop and maintain runbooks troubleshooting guides and incident response documentation. Collaborate with application teams to instrument services and improve end-to-end traceability. Collaboration & Mentorship Partner with application development and data engineering teams to streamline deployment workflows and troubleshoot environment issues. Collaborate with security and compliance teams on IAM policy design secrets management and vulnerability remediation. Provide mentorship to junior team members and contribute to team knowledge sharing through documentation and technical presentations. Communicate project status risks and infrastructure decisions clearly to leadership and non-technical stakeholders. Requirements 7–11 years of experience in DevOps Platform Engineering SRE or Infrastructure Engineering roles. Deep hands-on experience with Kubernetes or OpenShift in production including operator management RBAC ingress configuration and cluster upgrades. ROSA or OCP on AWS strongly preferred. Strong AWS infrastructure experience including VPC design IAM (IRSA cross-account trust) S3 Route 53 PrivateLink RDS etc.. Must be comfortable working in Terraform (or equivalent IaC tooling) at scale. Strong experience with Ansible for configuration management playbook development and operational automation across Linux and Windows targets including integration with orchestration platofrms and credential management. Demonstrated experience building and maintaining CI/CD pipelines across Jenkins and GitHub Actions reusable workflows OIDC auth and enterprise governance. Experience with GitOps tooling (Argo) and deployment strategies (blue/green canary progressive rollout). Working knowledge of observability tooling Prometheus Grafana OpenTelemetry or similar. Proficiency in scripting and automation with Bash Python or Go. PowerShell experience is a plus given hybrid Linux/Windows environment. Experience working in hybrid environments spanning Linux containers and Windows server administration. Familiarity with Kafka or event-driven architecture on Kubernetes is a plus. Experience in regulated industries (insurance finance healthcare) is preferred. Soft Skills & Working Style Strong written and verbal communication skills with the ability to explain complex infrastructure concepts to non-technical stakeholders. Collaborative mindset with willingness to work across domain boundaries — helping a data engineer debug a DAG or pairing with security on IAM policy review. Documentation-oriented writes runbooks architectural decision records and onboarding material as a natural part of the work. Self-directed with the ability to manage multiple priorities escalate appropriately and make pragmatic trade-off decisions. Curiosity and ownership mentality Education/Certifications Bachelor’s degree in Computer Science Systems Engineering or a related field or equivalent professional experience. Certifications (Preferred Not Required) AWS Certified DevOps Engineer Solutions Architect or SysOps Administrator. Certified Kubernetes Administrator (CKA) or Red Hat Certified Specialist in OpenShift. HashiCorp Certified Terraform Associate. Work Environment Remote This role is 100% remote open to candidates currently located in the United States who are able to work without sponsorship. Requires a private quiet workspace suitable for focused work and video collaboration. Hours Schedules are set to accommodate the needs of the role and organization and may be adjusted as needed. Travel Occasional travel to off-site locations for meetings may be required. Salary Range $90000 - $135000 with a comprehensive benefits package. Details EMPLOYERS Benefits and Perks About EMPLOYERS As a dynamic fast-growing provider of workers' compensation insurance and services we are seeking a goal-oriented individual willing to put their ideas to work! We offer a positive challenging work environment combined with an opportunity to build your career as you help us grow our business in innovative and imaginative ways that are uniquely EMPLOYERS! Headquartered in Nevada EMPLOYERS attributes its long-standing success to its most valuable resource our employees across the United States. We are known for the quality service and expertise we provide to our clients and the exemplary work environment we provide for our employees. We live and breathe our core values Integrity Customer Focus Collaboration Initiative Accountability Innovation and Personal Fulfillment. At EMPLOYERS you will discover an energetic environment that inspires top achievement. As ""America's small business insurance specialist"" we have the resources reputation and expanding nationwide identity to enrich your work/life and enhance your career. About EMPLOYERS"

Platform Engineer

Hybrid

About PayPay Card PayPay Card Corporation was established in 2021 to provide users a FinTech service that is more accessible and convenient compared to previous credit cards and credit services by integrating with the PayPay payment platform which has surpassed 75 million users since its launch (as of August 2026). We are looking for people who are passionate about refining our products at an overwhelming speed that other companies cannot match as well as professionals who are interested in promoting the spread of cashless payments in Japan and the use of these payments as a financial life platform. Let us work together to create new value for users. ※ Please note that you cannot apply or be selected in parallel with PayPay Corporation PayPay Card Corporation and PayPay Securities Corporation. Job Description PayPay Card is looking for a Cloud infrastructure and platform engineer for PayPay Card's cloud system. This role will be responsible for the engineering of Cloud Infrastructure Platforms to provide robust reliable and cost-efficient Platform so that we can deliver the best experience for our growing customers base. Main Responsibilities Architect and build a robust scalable and stable infrastructure Architect and build Infrastructure that is easily maintainable during patching and upgrades Architect and build Infrastructure with AWS regional level failure tolerance Work together with our Security Engineers to provision a secure Infrastructure Automations for AWS Deployments to ensure fast delivery of Cloud Services to our developers Provide through Automations means for developers to easily deploy resources on AWS. Tech Stack AWS VPC EC2 ECS EKS Lambda Cloudfront MWAA RDS ElastiCache DynamoDB Opensearch S3 CloudWatch Cognito SQS KMS Secret Manager KMS MSK CodeCommit CodeBuild CodeDeploy CodePipeline CloudFormation and other services Terraform Github Actions Prometheus Grafana Dynatrace Atlantis ArgoCD OpenTelemetry Required Qualifications More than 5 years of technical experience in Cloud based Infrastructure Platform Ability to demonstrate high degree of ownership in a Production environment Good understanding of Cloud security best practices and payment industry compliance standards Expertise in designing building and troubleshooting large-scale streaming and distributed systems using Kafka. Expertise in building Robust platforms based on NoSQL/KVS datastores like DynamoDB Opensearch/ Elasticsearch and Redis. Experience in Cloud infrastructure and platform systems availability performance and cost management Extensive technical hands-on experience of Computing Storage and Analytical Services on Cloud(AWS) Experience with IAC tools in AWS such as Terraform CloudFormation CDK Experience with Cloud Services Monitoring Detection and Response Experience in Cloud Services Performance Tuning cost controls and management Experience in Cloud Infrastructure Service patching and upgrades PayPay DevOps emphasize automation. Demonstrated skill with the following are required Python ShellScripting Go/ Rust (optional) Have excellent oral written verbal and interpersonal communication skills. Preferred Qualifications Bachelor’s degree and above in a technology related field Experience with other cloud service providers (e.g GCP Azure) Experience with Kubernetes (CKA CKAD or CKS) Experience with Event-Driven Architecture (Kafka preferred) Experience using and contributing to Open Source tools Experience in managing IT compliance and security risk Published papers / blogs / articles - Relevant and verifiable certifications Bilingual in English and Japanese is nice to have but not required. Proficiency in either language is fine. Working Conditions Employment Status Full Time Office Location Hybrid Workstyle (flexible working style including Remote and office) ※ You will be expected to work both in the office and remotely in alignment with organizational guidelines and team objectives. LIFE in JAPAN FACTBOOK Work Hours Full Flex Time (No Core Time) In principle 900am ~ 545pm (actual working hours 7h45m + 1h break) Holidays Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days Paid leave Annual leave (up to 14 days in the first year granted proportionally according to the month of employment. Can be used from the date of hire) Personal leave (5 days each year granted proportionally according to the month of employment) ＊PayPay Group's own special paid leave system which can be used to attend to illnesses injuries hospital visits etc. of the employee family members pets etc. Salary Annual salary paid in 12 installments (monthly) Reviewed once a year Overtime allowance Late overtime allowance Commuting and transportation expenses Benefits Social Insurance (health insurance employee pension employment insurance and compensation insurance) 401K Other Information PayPay Inside-Out (Corporate Blog) ENG Recruiting FACTBOOK for PayPay Card

Operations Engineer

Colorado Springs, CO

At Accenture Federal Services nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense national security public safety civilian and military health organizations. Join Accenture Federal Services a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work we offer a collaborative and caring community where you feel like you belong and are empowered to grow learn and thrive through hands-on experience certifications industry training and more. Join us to drive positive lasting change that moves missions and the government forward! Join a high impact Tier Two Operations team that sits at the heart of our cloud platform environment. In this role you’ll deploy cutting edge applications automate and optimize core processes and serve as the trusted escalation point for our service desk. We’re looking for engineers who thrive in dynamic environments bring strong Linux and Windows expertise and are eager to work hands on with AWS services. If you’re a proactive problem solver with strong communication skills and a passion for collaboration you’ll make an immediate impact here. What you’ll do Serve as the primary escalation point for the service desk tackling complex troubleshooting for applications virtual workspaces network and performance issues and a variety of service requests Administer and maintain Windows systems leveraging technologies such as PowerShell Desired State Configuration (DSC) and Group Policy Objects (GPO) and manage software bundles for diverse virtual desktop environments Oversee Kubernetes clusters in a private-cloud setting including ongoing maintenance troubleshooting and incident response Deploy and maintain both commercial and custom software using AWS Cloud Services (EC2 EKS S3 Workspaces and more) ensuring proper snapshot management and system reliability Collaborate closely with Cyber Security and Engineering teams to optimize cloud solutions and support DevOps continuous improvement initiatives Analyze and support systems engineering functions for new system development critical enhancements and patching all in line with established system engineering and configuration management processes Automate routine operational tasks and maintain automated job schedules to drive efficiency Use Jira to track Tier 2 issues and communicate ongoing work and status updates with customers What you’ll need 3 years of relevant Information Technology experience Prior experience in a Tier II support role 1 year of hands-on experience with Kubernetes and/or Docker Ability to meet DoD 8570 IAT II requirements (Security+ or higher certification) Bonus Points if you have Hands-on experience scripting with Python and Bash Experience working in cloud environments Experience working in Agile environments Leadership experience in a relevant technical area Technical certifications especially AWS Cloud Practitioner or Certified Kubernetes Administrator (CKA) Comfortable working in both remote and on-site environments Excellent communication skills A strong ‘customer first’ mindset Clearance Must have a TS/SCI level clearance and a willingness to sit for a polygraph if necessary As required by local law Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California Colorado Hawaii Illinois Maine Maryland Massachusetts Minnesota New Jersey New York Vermont Virginia Washington and the District of Columbia and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors including but not limited to office location role skill set and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California Colorado Hawaii Illinois Maine Maryland Massachusetts Minnesota New Jersey New York Vermont Virginia Washington and the District of Columbia and the city of Cleveland is $100200 $203400 USD What We Believe As a company wholly dedicated to serving the US federal government we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected feel a sense of belonging and have equal opportunity. As a business imperative every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives experiences and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by federal state or local law. Our rich diversity makes us more innovative more competitive and more creative which helps us better serve our clients and our communities. For details view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally as an Affirmative Action Employer for Veterans and Individuals with Disabilities Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. Additionally employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident live in or plan to work from Los Angeles County upon being hired for this position please click here for additional important information.

Senior MLOps Engineer II (AI Native)

Remote United States Remote Canada

About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app Tile tracking devices and Pet GPS tracker empower members to protect the people pets and things they care about most with a range of services including location sharing safe driver reports and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU) as of June 30 2026 across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter big and small. By continuing to innovate and deliver for our customers we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information please visit life360.com Life360 is a Remote First company which means a remote work environment will be the primary experience for all employees. All positions unless otherwise specified can be performed remotely (within the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools discuss how you leverage AI or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About The Team Data Science and Machine Learning (DSML) at Life360 is a lean high-impact matrixed team with individuals embedded in business units and working cross-functionally with Product Analytics Engineering and business stakeholders. We are dedicated to enhancing and optimizing the user experience accelerating growth and generating revenue through subscriptions partnerships and ads. We leverage a variety of technical skills and tools including experimentation offline and online ML online learning and agentic AI (AI-Native development) to deliver exceptional customer value. About the Job We are seeking a highly motivated and skilled Senior II MLOps Engineer. In this role you will bridge the critical gap between machine learning model development and core system operations. You will be responsible for designing building and scaling the infrastructure and automated pipelines required to reliably train deploy and monitor our machine learning models in production environments. You will join a fast-paced collaborative team of data scientists data engineers and software architects. In this position you will be empowered to mature our CI/CD systems optimize distributed infrastructure and directly impact the reliability and scale of our core AI-driven products. This role requires strong technical expertise and practical experience in deploying machine learning inferences and models as well as the ability to collaborate with cross-functional teams to drive measurable business outcomes. For candidates based in the US the salary range for this position is $148000 to $216000 USD. For candidates based out of Canada the salary range for this position is $171500 to 201000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore base pay offered may vary considerably depending on geographic location job-related knowledge skills and experience. The compensation package includes a wide range of medical dental vision financial and other benefits as well as equity. What You’ll Do Pipeline Automation Design implement and manage automated CI/CD and Continuous Training (CT) pipelines for machine learning model development evaluation and delivery. Model Deployment Containerize deploy and scale machine learning models as high-availability microservices or batch processing workflows. Observability & Monitoring Establish unified logging alerting and monitoring solutions to track model inference performance system latency resource utilization data drift and concept drift. Infrastructure Management Provision and optimize cloud-based ML infrastructure (including GPU/CPU computing clusters) utilizing Infrastructure as Code (IaC) paradigms. Cross-Functional Collaboration Work intimately with product development teams to drive infrastructure adoption and efficiency gains through SDK/API development automation and efficient ML system maintenance. Governance & Compliance Implement robust lineage tracking for data code and model artifacts to ensure compliance reproducibility and security across the entire ML lifecycle. Data Infrastructure & Tooling Work with data engineering to improve the data ecosystem ensuring robust scalable pipelines for experimentation and ML (including streaming tools like Kafka and Flink for low-latency online inference). Thought Leadership Act as a mentor and thought leader helping to define best practices in machine learning engineering scalable ML service ops and agentic AI (AI-Native) best practices. What We’re Looking For Desired Experience & Qualifications Professional Experience 5+ years of professional software engineering DevOps or data engineering experience with at least 2 years dedicated to building and maintaining MLOps infrastructure. Programming Mastery Strong proficiency in Python including deep familiarity with software engineering best practices (unit testing modular design version control via Git). Orchestration & Containerization In addition to hands-on experience with containerization (Docker) and container orchestration platforms specifically Kubernetes (EKS GKE or native clusters) experience with related tools like FastAPI. MLOps and Datastore Tooling Proven familiarity with specialized ML lifecycle and data processing tools and platforms such as MLflow Kubeflow SparkML Synapse ML SQL Spark/PySpark dbt and Airflow. Cloud Foundations Practical experience operating within a major cloud ecosystem—e.g. AWS GCP Databricks—with a clear grasp of cloud networking security and storage tiers. Strong communication and project leadership skills with the ability to influence cross-functional teams. Educational Background Bachelor’s or Master’s degree in Computer Science Data Science Software Engineering or a closely related quantitative field. Preferred Qualifications Advanced Tooling Experience implementing and scaling production feature stores (e.g. Feast Tecton) and model registries. Generative AI & LLMs Prior experience deploying and optimizing Large Language Models (LLMs) or foundation models utilizing serving frameworks like vLLM Triton Inference Server or TGI. Infrastructure as Code Proficient with IaC frameworks particularly Terraform to manage reproducible environments. Data Frameworks Familiarity with distributed data computation engines such as Apache Spark Ray or Dask. Industry Certifications Relevant cloud or architecture credentials such as AWS Certified Machine Learning Specialty Google Cloud Professional Machine Learning Engineer or Certified Kubernetes Administrator (CKA). Experience in subscription-based products lifecycle marketing or user acquisition. Experience with geospatial data and mobile location-based services. Experience in the consumer technology sector particularly within a fast-paced and sometimes ambitious development setting. Core Expectations Problem-solving mindset - You structure ambiguous problems precisely before reaching for a tool AI or otherwise Collaborative approach - You can explain technical tradeoffs and articulate ideas effectively work well across teams and value diverse perspectives Ownership mentality - You take responsibility for your work from design through production and beyond AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner delegating discrete tasks reviewing outputs critically and running parallel workstreams rather than hand-holding one agent at a time We believe culture fit and problem-solving ability matter more than checking every technical box. We're happy to help you grow into areas where you have less experience. Our Benefits Medical dental vision life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Paid parental leave Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being Generous time off flexible PTO companywide holidays throughout the year plus summer and winter shutdowns Learning & Development programs Equipment tools and reimbursement support for a productive remote environment. Free Life360 Platinum Membership Tile trackers Life360 Values Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together we continue to build an inclusive culture that encourages supports and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications you should still seriously consider applying! LI-Remote ____________________________________________________________________________

DevOps Engineer

Latam

Who We Are Launchpad Technologies Inc. is a global technology partner connecting top talent with high-impact projects across North America and beyond. We specialize in Staff Augmentation and product development helping companies scale with agility while empowering professionals to grow in meaningful remote-first environments. If you’re passionate about automating infrastructure optimizing CI/CD pipelines and building scalable secure environments in the cloud we’d love to have you in our Talent Pool for upcoming opportunities. Don’t hesitate to apply today! Are you skilled in…? Building and maintaining CI/CD pipelines Managing and automating cloud infrastructure (AWS Azure GCP) Monitoring logging and improving system reliability Implementing Infrastructure as Code (Terraform Ansible CloudFormation) Ensuring security scalability and performance across environments Collaborating closely with development and operations teams Communicating effectively in English (written and spoken) Do you have experience with…? Containerization and orchestration (Docker Kubernetes) Version control (Git GitHub GitLab) Scripting and automation (Python Bash PowerShell) Observability tools (Prometheus Grafana ELK Datadog) Cloud networking IAM and security controls Agile and DevOps best practices Bonus points for Certifications (AWS Certified DevOps Engineer Azure DevOps Expert CKA) Experience with cost optimization and FinOps principles Serverless architectures and microservices Familiarity with DevSecOps or shift-left security practices Does our work culture resonate with you? 100% remote People-first culture Excellent compensation in US Dollars Hardware setup for working from home Work with global teams and prominent brands Training allowances Personal time off (PTO) for vacation study leave personal time etc. ...and more! Then apply now! Let’s stay connected... Your next opportunity might be closer than you think. Compliance & Equal Opportunity Launchpad is an equal opportunity employer committed to creating an inclusive environment for all applicants. We do not discriminate on the basis of race color religion gender identity sexual orientation age disability or any other protected status under applicable laws in Canada and British Columbia. All candidate information will be handled confidentially and used solely for recruitment purposes in accordance with applicable privacy regulations. Ready to make your mark? Apply now and be part of something exciting!

Senior Software Engineer – Platform & Data Infrastructure

McLean, Virginia Mountain View, California, United States

Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies 45 state government agencies and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more visit https//network.id.me/ ID.me is a full-time in-office culture. Unless a specific job description explicitly states otherwise all roles are on-site five days per week at one of our offices in McLean VA Mountain View CA New York City NY or Tampa FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At ID.me we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However during the interview process we want to understand your individual skills and experiences. Therefore we have guidelines on how AI can be appropriately used during your application and interviews which can be found here Role Overview ID.me is seeking a Senior Software Engineer (Platform & Data Infrastructure) to architect scale and maintain the core cloud-native platform and data infrastructure that powers our digital identity platform. In this role you will take ownership of multi-region Kubernetes fleets automated GitOps pipelines policy-as-code governance and enterprise data workflow orchestrations. Working closely with Platform Security SRE and Product Engineering teams you will turn complex infrastructure into self-service developer capabilities enforce security guardrails and ensure high availability across critical production services. This is a hands-on technical role for a senior engineer with deep expertise in cloud-native distributed systems Infrastructure as Code (IaC) GitOps continuous delivery and data platform operations. This role is based out of our Mountain View CA or McLean VA offices and requires full-time in-office attendance. Responsibilities Operate Cloud-Native Kubernetes Fleets Own the lifecycle network topology node-pool migrations and multi-region deployment of production Kubernetes clusters (GKE/EKS) supporting microservices at scale. Drive GitOps & CI/CD Delivery Maintain automated GitOps reconciliation pipelines using FluxCD and Helm driving cluster bootstrapping progressive rollouts and secret integrations. Scale Infrastructure as Code & Policy Governance Architect modular Terraform codebases manage enterprise workspaces (Terraform Enterprise/Terragrunt) and enforce compliance guardrails using policy-as-code frameworks (Sentinel/OPA). Maintain Data Platform Infrastructure Build and optimize data pipelines and workflow orchestrations using Apache Airflow Kafka and enterprise data warehouses (e.g. BigQuery). Enforce Zero-Trust Security & Secrets Management Integrate enterprise secret management tools (HashiCorp Vault External Secrets Operator Google Secret Manager/KMS) and enforce Workload Identity and network perimeter controls. Lead Complex Infrastructure Migrations Direct zero-downtime infrastructure initiatives including IP-addressing migrations cluster rebuilds and database cutovers. Drive Reliability DR & On-Call Excellence Active participation in on-call rotations designing observability dashboards (Splunk GCP Cloud Logging/Stackdriver) writing runbooks and executing regional disaster recovery (DR) failover drills. Technical Mentorship Guide mid-level and junior engineers through code/design reviews establishing self-service infrastructure standards across the organization. Minimum Qualifications Bachelor’s or Graduate degree in Computer Science Software Engineering or a related technical field. 4+ years of professional experience in platform engineering Site Reliability Engineering (SRE) or cloud data infrastructure. Strong programming skills in modern languages/scripts such as Python Bash SQL or Java. Deep experience operating enterprise-scale Kubernetes fleets (GKE or EKS) and container ecosystems. Extensive practical experience writing modular Terraform and managing Infrastructure as Code at scale. Demonstrated experience operating event-streaming and workflow systems such as Apache Airflow Kafka or BigQuery. Preferred Qualifications Certifications Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD). Hands-on experience with Terraform Enterprise (TFE) and writing Sentinel or Open Policy Agent (OPA) policy-as-code guardrails. Proven experience with GitOps workflows utilizing FluxCD or ArgoCD across multi-tenant production fleets. Advanced secrets management expertise using HashiCorp Vault and Kubernetes External Secrets Operator. Track record of executing large-scale cloud migrations data warehouse transitions (e.g. Vertica to BigQuery) or networking range overhauls with zero customer impact. The annual base salary listed does not include a company bonus incentive for sales roles equity and benefits which will be determined based on experience skills education relevant training geographic location and role. ID.me offers comprehensive medical dental vision health savings account flexible spending accounts (medical limited purpose dependent care commuter benefit accounts) basic and voluntary life and AD&D insurance 401(k) with company match parental leave ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy including 8 company wide holidays short and long-term disability insurance accident and critical illness insurance referral bonus policy employee assistance program pet insurance travel assistant program wellbeing and childcare discounts benefit advocates and a learning and development benefit. Final offers may vary from the amount listed based on qualifications professional experiences skills education relevant training geographic location and other job related factors. Mountain View CA Pay Range $190978 $214052 USD ID.me maintains a work environment free from discrimination where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable laws regulations and ordinances. ID.me adheres to these principles in all aspects of employment including recruitment hiring training compensation promotion benefits social and recreational programs and discipline. In addition ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy including our CCPA policy at id.me/privacy . If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

AI Platform Engineer

AI Platform Engineer L3 (GPUaaS – AI Neocloud) 📍 EMEA Remote-first About Sharon AI Sharon AI is building the infrastructure powering the next generation of artificial intelligence. Operating across AI infrastructure high-performance compute cloud platforms and large-scale technology environments Sharon AI delivers scalable secure and reliable infrastructure for demanding AI ML and HPC workloads. The Role As an AI Platform Engineer L3 you'll design build and operate the platform layer powering Sharon AI's GPU-as-a-Service (GPUaaS) offering across the EMEA region. You'll own the architecture automation and reliability of the platform services sitting above Sharon AI's GPU and network fabric spanning Kubernetes Slurm GPU scheduling MLOps tooling model serving and platform observability across multiple EMEA sites. Reporting to the Head of Operations you'll work closely with Network Engineering Infrastructure and customer-facing teams to solve complex cross-team challenges and ensure Sharon AI's platform can scale reliably and efficiently across the region. This is a hands-on senior individual contributor role suited to an engineer with strong platform engineering DevOps or MLOps experience who can operate independently in a fast-paced AI-native environment and provide technical guidance to less experienced engineers. Key Responsibilities Design and own the AI platform architecture across Sharon AI's EMEA GPU clusters including Kubernetes Slurm and container orchestration Lead the development of CI/CD pipelines and MLOps tooling supporting training fine-tuning and inference workloads across multiple sites Define and implement multi-tenant GPU resource scheduling quota management and workload isolation strategies at scale Own the design of model serving infrastructure balancing high availability performance and cost efficiency Build and evolve platform-wide observability across monitoring logging and alerting covering platform health GPU utilisation and workload performance Drive Infrastructure-as-Code adoption and platform automation using Terraform and Ansible Partner closely with Network Engineering to integrate the platform layer with Sharon AI's underlying InfiniBand/RDMA fabric Act as a senior escalation point for complex platform issues impacting customer AI/ML workloads across EMEA Lead incident response and post-incident reviews contributing to operational runbooks and platform best practice Partner with the Head of Operations on platform capacity planning scaling strategy and cost optimisation across EMEA Mentor and provide technical guidance to less experienced platform engineers Support enterprise GPUaaS customer onboarding and technical escalations across the region Skills & Experience 6–10+ years' experience in platform engineering DevOps MLOps or SRE ideally within HPC cloud or AI/ML infrastructure environments Bachelor's degree in Computer Science Electrical Engineering or a related field Hands-on experience operating Kubernetes and GPU scheduling at production scale Proven experience designing CI/CD and Infrastructure-as-Code practices for platform teams Proven experience supporting GPU or AI/ML infrastructure at scale ideally within a GPUaaS or neocloud environment Deep expertise in Kubernetes and GPU scheduling frameworks including Slurm Kubernetes device plugins and NVIDIA GPU Operator Strong experience designing and operating MLOps tooling and ML pipeline orchestration in production Advanced proficiency in Python Bash and Infrastructure-as-Code tools such as Terraform and Ansible Strong understanding of GPU infrastructure and distributed training concepts including NCCL data/model parallelism and RDMA-aware scheduling Experience with platform-wide observability tooling such as Prometheus Grafana and telemetry stacks Strong Linux systems and networking fundamentals with the judgement to independently solve ambiguous cross-team problems A security-first mindset when operating within multi-tenant environments Awareness of EMEA regulatory and data residency considerations including GDPR as they relate to platform operations Strong communication and collaboration skills across distributed multi-region teams with the ability to mentor other engineers Experience with distributed training frameworks such as PyTorch and TensorFlow MLOps platforms including MLflow Kubeflow or Ray and InfiniBand/RDMA or RoCEv2 networking concepts is advantageous. Kubernetes certifications such as CKA CKAD or CKS and cloud certifications across AWS GCP or Azure are also advantageous. The role requires the right to work in an EMEA jurisdiction with existing eligibility to work across the EU/EEA or UK advantageous given the multi-country remit. Why Join Sharon AI Own the platform architecture powering a growing GPU-as-a-Service and AI neocloud business across EMEA Work hands-on with large-scale GPU infrastructure Kubernetes Slurm and AI-native platform technologies Shape how Sharon AI's platform scales across multiple jurisdictions sites and customer workloads Solve complex technical challenges across GPU infrastructure MLOps networking and distributed AI workloads Influence platform reliability automation capacity and cost optimisation across the region Work closely with Network Engineering and Infrastructure teams on high-performance InfiniBand/RDMA environments Provide technical leadership and mentorship while remaining hands-on as a senior individual contributor Help enterprise customers reliably train fine-tune and run AI/ML workloads at scale Join a highly technical and ambitious team operating at the forefront of AI infrastructure Our Values Integrity Innovation Collaboration Wellbeing Inclusion

AWS Cloud Infrastructure Engineer – RPA Operations (Remote)

Arlington, VA

Tuknik Government Services a Koniag Government Services company is seeking an AWS Cloud Infrastructure Engineer – RPA Operations with a Secret security clearance to support TGS and our government customer. The position is remote. We offer competitive compensation and an extraordinary benefits package including health dental and vision insurance 401K with company matching flexible spending accounts paid holidays three weeks paid time off and more. The AWS Cloud Infrastructure Engineer - RPA Operations will be responsible for designing implementing and maintaining the organization's Amazon Web Services (AWS) cloud infrastructure that supports Robotic Process Automation (RPA) operations specifically in UiPath RPA software. This role serves as the technical expert for all AWS-related services utilized by RPA customers ensuring secure scalable and highly available virtual infrastructure for automation workloads. The position requires deep expertise in AWS services virtualization technologies security management and container orchestration. The ideal candidate will manage complex cloud environments including virtual machines AWS Workspaces Hardware Security Modules (HSM) and certificate management systems while maintaining strict security protocols for Non-Person Entity (NPE) credentials and unattended automation infrastructure. This role combines cloud architecture systems administration security management and DevOps practices with specialization in System Center Configuration Manager (SCCM) and Kubernetes orchestration. The engineer will work closely with RPA development teams security personnel and end-users to ensure optimal performance security and accessibility of cloud resources that enable enterprise-wide automation capabilities. Essential Functions Responsibilities & Duties may include but are not limited to AWS Infrastructure Management & Administration Design deploy and maintain AWS cloud infrastructure supporting RPA/UiPath customer operations Create and manage virtual machines (EC2 instances) optimized for unattended automation workloads Configure and maintain AWS Workspaces for RPA developers and automation operators Implement and manage AWS services including but not limited to EC2 VPC S3 IAM CloudWatch CloudFormation Systems Manager and CloudTrail Monitor cloud resource utilization performance metrics and costs optimize infrastructure for efficiency Implement and maintain backup disaster recovery and business continuity solutions for RPA infrastructure Manage cloud networking configurations including VPCs subnets security groups routing tables and network ACLs Ensure high availability and fault tolerance of critical RPA infrastructure components Plan and execute infrastructure scaling activities to meet growing automation demands Perform system maintenance patching and updates across cloud environments Security & Certificate Management Manage AWS Hardware Security Module (HSM) or similar infrastructure for secure operations Implement and maintain digital certificate lifecycle management for RPA operations Configure and manage Non-Person Entity (NPE) credentials for unattended automation processes Establish secure credential storage rotation and access procedures using AWS HSM or similar and Secrets Manager Implement and enforce security best practices for cloud infrastructure and automation workloads Manage Identity and Access Management (IAM) policies roles and permissions for RPA services Configure and monitor security controls including encryption at rest and in transit Conduct security assessments and implement remediation measures for identified vulnerabilities Maintain compliance with organizational cybersecurity policies and federal security standards Manage PKI (Public Key Infrastructure) components and certificate authorities for automation environments Coordinate with security teams on audits compliance requirements and security incidents Systems Management & Configuration Administer System Center Configuration Manager (SCCM) for endpoint management and software distribution Deploy and manage applications updates and configurations across virtual infrastructure using SCCM Maintain SCCM infrastructure including site servers distribution points and management points Create and maintain SCCM task sequences packages and deployment collections Monitor system compliance and remediate configuration drift Integrate SCCM with cloud services for hybrid environment management Troubleshoot SCCM-related issues and optimize performance Container Orchestration & Kubernetes Management Design deploy and manage Kubernetes clusters Configure and maintain Amazon Elastic Kubernetes Service (EKS) or equivalent container platforms Develop and manage container images pods services and deployments Implement container security best practices and vulnerability scanning Monitor cluster health resource utilization and application performance Troubleshoot container and orchestration issues Implement CI/CD pipelines for container deployments User Support & Documentation Provide technical support to RPA customers for AWS infrastructure access and usage issues Troubleshoot and resolve virtual infrastructure problems including connectivity performance and configuration issues Create and maintain comprehensive documentation for AWS infrastructure procedures and configurations Document step-by-step procedures for NPE credential acquisition and setup in AWS environments Develop user guides for accessing and utilizing AWS Workspaces and virtual machines Maintain runbooks for common administrative tasks and troubleshooting scenarios Conduct knowledge transfer sessions with team members and end-users Respond to user inquiries regarding cloud infrastructure capabilities and limitations Education Required Qualifications Bachelor's degree in Computer Science Information Technology Computer Engineering or related technical field OR Equivalent combination of education and professional experience in cloud infrastructure systems engineering or DevOps Experience Minimum 4-5 years of hands-on experience with AWS cloud services and infrastructure management Minimum 3 years of experience with virtual machine administration and cloud computing environments Demonstrated experience with System Center Configuration Manager (SCCM) administration Minimum 2 years of experience with Kubernetes or container orchestration platforms Experience with security management certificate authorities and cryptographic systems Previous experience supporting enterprise automation or RPA infrastructure (preferred) Experience with Infrastructure as Code (IaC) and DevOps practices Required Technical Skills AWS Services Expert-level knowledge of AWS core services (EC2 VPC S3 IAM CloudWatch) Advanced experience with AWS Workspaces and virtual desktop infrastructure (VDI) Proficiency with AWS Hardware Security Module (CloudHSM or AWS Managed HSM) Strong understanding of AWS security services (Secrets Manager KMS Certificate Manager IAM) Experience with AWS networking security groups and VPC configurations Familiarity with AWS automation tools (CloudFormation Systems Manager CLI SDKs) Security & Certificate Management Deep knowledge of Public Key Infrastructure (PKI) and certificate lifecycle management Experience with digital certificate creation distribution and revocation Understanding of cryptographic concepts and secure key management Experience managing Non-Person Entity (NPE) credentials and service accounts Knowledge of security compliance frameworks and best practices Systems Management Advanced proficiency with Microsoft System Center Configuration Manager (SCCM) Experience with endpoint management patch management and software distribution Knowledge of Windows Server administration and Active Directory integration Familiarity with PowerShell scripting for automation and system management Container & Orchestration Strong experience with Kubernetes architecture deployment and management Proficiency with Amazon EKS or other managed Kubernetes services Knowledge of Docker and container technologies Experience with container security scanning and vulnerability management Understanding of microservices architecture and cloud-native applications Infrastructure As Code & Automation Proficiency with Infrastructure as Code tools (Terraform CloudFormation ARM templates) Experience with configuration management tools (Ansible Puppet Chef) Strong scripting skills (PowerShell Python Bash) Familiarity with CI/CD pipelines and DevOps tools (Jenkins GitLab Azure DevOps) Monitoring & Troubleshooting Experience with cloud monitoring and logging solutions (CloudWatch CloudTrail ELK stack) Strong analytical and troubleshooting skills for complex cloud environments Performance tuning and optimization expertise Preferred AWS certifications (Solutions Architect SysOps Administrator Security Specialty DevOps Engineer) Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) Microsoft certifications (Azure Administrator SCCM/MECM certification) UiPath infrastructure knowledge or RPA platform administration experience Experience with HashiCorp tools (Vault Consul Terraform) Knowledge of networking protocols load balancers and CDN services Experience with disaster recovery and business continuity planning Familiarity with compliance frameworks (FedRAMP NIST FISMA) Professional Competencies Strong analytical and problem-solving abilities for complex technical challenges Excellent documentation skills with attention to detail and accuracy Effective communication skills to explain technical concepts to diverse audiences Customer-service oriented with a focus on user satisfaction Ability to work independently and manage multiple concurrent projects Strong organizational and time management skills Commitment to continuous learning and staying current with cloud technologies Collaborative team player with ability to work across functional groups Security-conscious mindset with understanding of risk management Proactive approach to identifying and resolving potential issues Security & Clearance Requirements Must be able to obtain and maintain Secret clearance Ability to handle sensitive information and credentials with appropriate discretion Understanding of and adherence to federal cybersecurity requirements Other Requirements Availability for on-call support rotation for critical infrastructure issues Willingness to work outside normal business hours for maintenance windows when necessary Ability to support geographically dispersed user base Commitment to maintaining professional certifications and technical skills Strong ethical standards regarding system access and data security U.S. Citizen. Our Equal Employment Opportunity Policy The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race color religion creed ethnicity sex sexual orientation gender or gender identity (except where gender is a bona fide occupational qualification) national origin or ancestry age disability citizenship military/veteran status marital status genetic information or any other characteristic protected by applicable federal state or local law. We are committed to equal employment opportunity in all decisions related to employment promotion wages benefits and all other privileges terms and conditions of employment. The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations. Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward-leaning technical professional and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers employees and native communities. For more information please visit www.koniag-gs.com. Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352