Remote
"About Egen Egen is a fast-growing entrepreneurial company built on a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms including Google Cloud and Salesforce to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning thrive on solving tough problems and continually innovate to achieve fast effective results. If this describes you we want you on our team. ➡ About the Opportunity ➡ Egen is seeking a highly senior and technically adept Client Partner to drive strategic growth within our Early Velocity segment. This is a unique opportunity for a proven Principal Architect or seasoned technical professional to elevate their career and earnings potential by stepping into full account ownership. You will transition from solely designing and solutioning to owning the entire client relationship and commercial lifecycle still working on interesting projects and flexing your deep AI and cloud skills. This executive-facing role requires a 'hunter' who can effectively bridge complex data AI/ML and cloud transformation strategies with measurable multi-million dollar business outcomes. The ideal candidate possesses the technical depth of a Principal Architect combined with the closing and soft skills of a top-tier seller. Key Responsibilities ➡ The Client Partner is responsible for driving measurable multi-million dollar business outcomes for Egen and our clients by Executive Strategic Advising Serve as the trusted strategic advisor to executive stakeholders (C-level VP Director) deeply understanding their long-term business goals technology footprint and competitive landscape to proactively identify and champion high-impact data and AI transformation opportunities. P&L and Account Growth Full ownership and strategic growth for a portfolio of accounts including defining comprehensive account strategies and ensuring solutions drive measurable quantifiable business outcomes (e.g. ROI cost reduction process automation). Capitalize on nationwide capability with no territorial restrictions giving you freedom to leverage your entire professional network. Solution Design & Scoping Own the strategic framing and commercial lifecycle of all engagements leveraging deep technical knowledge to move deals forward independently. This includes defining strategic business objectives negotiating commercial constructs (MSAs SOWs Pricing). Technical Acumen Demonstrate understanding of solution design and strategic implementation of projects involving AI/ML Data Products and cloud-native application modernization on major public clouds (Google Cloud preferred). Must possess proven delivery experience (e.g. from Google Professional Services or other Service Integrators) and be able to bridge complex technical solutions with clear executive business value. Delivery Orchestration Lead and orchestrate internal cross-functional teams (Sales Principal Architects Engineering Delivery) to ensure solution integrity technical feasibility and successful on-time delivery of client engagements. Alliance Partnership Drive mutual success and maximize business growth in the territory through close alignment and co-selling efforts with Google Cloud and other strategic alliance partner account teams. Market & Content Strategy Collaborate with Egen marketing and business development teams to develop client success stories targeted account-based marketing plans and content that drives net-new business acquisition. Basic Qualifications ➡ 10+ years of proven success in a client-facing leadership/sales role focused on selling and managing complex cloud data or AI professional services engagements with large enterprise accounts. Demonstrated deep technical expertise preferably with experience architecting and delivering solutions and programs (not limited to high-level product knowledge). Previous sales experience with any major public cloud (AWS Google Cloud Azure etc.) or Service Integrator with a preference for experience selling advanced services (AI/ML GenAI Data Analytics). Proven track record of exceeding quota in the Enterprise space. Demonstrating a ""hunter"" mentality. Experience consulting and selling services into Fortune 1000 and/or Fortune 500 client(s). Prior strategic relationships in the cloud ecosystem and/or strong relationships with a Cloud Service Provider (CSP) account teams (preferably Google Cloud). Preferred Qualifications ➡ Bachelor’s Degree is preferred but will consider relevant experience as an equivalent. Demonstrated ability to establish and maintain C-Level VP and Director-level relationships at key customer contacts. Proven track record of consistently exceeding multi-million dollar sales targets. Experience with value-based selling forecasting sales and revenue and utilizing Salesforce. Proven ability to identify pursue and close new services business in the Enterprise space Strong understanding of the enterprise cloud adoption lifecycle and the strategic components required for digital transformation. ➡ This role is open to candidates located in the United States who do not need sponsorship or a work visa. Remote work is available but the role requires significant client-facing travel within these areas as required by client engagements. Compensation & Benefits This role is eligible for our competitive salary and comprehensive benefits package to support your well-being - Comprehensive Health Insurance - Paid Leave (Vacation/PTO) - Paid Holidays - Sick Leave - Parental Leave - Bereavement Leave - 401 (k) Employer Match - Employee Referral Bonuses Check out our complete list of benefits here - >https//egen.ai/people/benefits Important All roles are subject to standard hiring verification practices which may include background checks employment verification and other relevant checks. EEO and Accommodations Egen is an equal opportunity employer and is committed to inclusion diversity and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability status protected veterans’ status or any other characteristic protected by federal state or local laws. Egen will also consider qualified applications with criminal histories consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process."
Remote Germany
Über Uns Wir sind ainovi ein progressives IT-Beratungsunternehmen mit Fokus auf Data Science Microsoft SAP sowie der Entwicklung und Vermarktung digitaler Produkte. Unsere Expertinnen unterstützen KMU’s und DAX-Unternehmen seit 2011 bei der digitalen Transformation. Unsere Werte – Progressivität Vielseitigkeit und Authentizität – bilden das Fundament unserer Arbeit. Wir sind davon überzeugt dass nur vielseitige Teams mit unterschiedlichen Perspektiven und frischen Ideen in der Lage sein können nachhaltige Lösungen zu bieten. Unser Erfolg basiert auf der Entwicklung und dem Wohlbefinden unserer Teams. Deshalb wollen wir unseren Mitarbeiterinnen ein modernes Arbeitsumfeld bieten in dem Gemeinschaft Technologie und menschliche Werte den Kern für Innovation bilden. Du möchtest Machine Learning-Modelle nicht nur entwickeln sondern auch in Produktion bringen und skalierbar betreiben? Wir suchen Verstärkung im Bereich MLOps – jemand mit Leidenschaft für Machine Learning DevOps und moderne Cloud-Technologien um die Brücke zwischen Data Science und Produktion zu schlagen.Deine Mission - ML-Pipelines & Automatisierung + Entwickle und optimiere End-to-End-Pipelines für Training Testing Deployment und Monitoring von Machine-Learning-Modellen. Modell-Deployment & Skalierung + Sorge dafür dass Modelle zuverlässig performant und reproduzierbar in produktiven Umgebungen laufen – ob in der Cloud oder on-premise. Monitoring & Observability + Implementiere Tools und Prozesse zur Überwachung von Modell-Performance Drift-Erkennung und Stabilität. CI/CD für Machine Learning + Setze Continuous Integration & Deployment-Pipelines auf um ML-Workflows effizient nachvollziehbar und automatisiert zu gestalten. DataOps & Zusammenarbeit + Arbeite eng mit Data Scientists Data Engineers und Softwareentwicklern zusammen um robuste und nachhaltige ML-Systeme zu bauen. Sicherheit & Governance + Implementiere Standards und Best Practices für Datenschutz Sicherheit und Compliance im Machine-Learning-Kontext. Innovation & Tooling + Bewerte neue MLOps-Tools Frameworks und Plattformen (z. B. MLflow Kubeflow Vertex AI Sagemaker) und bringe innovative Ansätze ein. Dein Profil - Abgeschlossenes Studium in Informatik Data Science Ingenieurwissenschaften oder einem verwandten Bereich. Erste Berufserfahrung (1-3 Jahre) im Bereich MLOps DevOps oder Data Engineering oder in einem ähnlichen Umfeld. Sehr gute Kenntnisse in Python und Erfahrung mit ML-Frameworks (z. B. TensorFlow PyTorch Scikit-learn) Erfahrung in Skriptsprachen zur Automatisierung von Prozessen (TODO Beispiele angeben) Erfahrung mit CI/CD-Tools (z. B. GitHub Actions GitLab CI Jenkins) Know-How in Containerisierung & Orchestrierung (Docker Kubernetes) Praxis mit Cloud-Plattformen (AWS Azure GCP) und ML-Diensten (z. B. Sagemaker Vertex AI) Kenntnisse in ML-Pipeline-Tools (z. B. MLflow Kubeflow Airflow Prefect) Erfahrung in Monitoring & Logging (z. B. Prometheus Grafana ELK-Stack Evidently AI) Verständnis von Machine Learning Lifecycle Management Governance und Sicherheit Analytisches Denken Problemlösungsorientierung und ein agiles Mindset Kommunikationsstärke und Freude an interdisziplinärer Zusammenarbeit Unser Angebot - Teamorientierte Unternehmenskultur geprägt von flachen Hierarchien sowie ausgewogene Work Life Balance Sichere Perspektiven durch strategisches Wachstum und starke Partner Attraktives Gehaltspaket mit zusätzlichen Leistungen (Firmenwagen Bonusregelung etc.) Arbeiten mit zukunftsorientierten Technologien Regelmäßige Fortbildung durch Seminare Workshops und Schulungen Minimierung von Reisezeiten da wir für Dich passende und möglichst regionale Projekte in der Nähe Deines Heimatortes suchen Es kann überwiegend bis ausschließlich remote gearbeitet werden Bereit die Schnittstelle zwischen Machine Learning und Produktion zu meistern? Dann bewirb dich jetzt als MLOps Engineer (m/w/d) und werde Teil unseres Teams!Important note for all English speaking applicants - Please send us your application only if you have good German language skills. Your language level should be at least B2. It is mandatory that your application documents are written in German. Tätigkeitsbereich Beratung Karrierestufe mit Berufserfahrung Arbeitszeit Vollzeit Standort Homeoffice Arbeitsverhältnis Festanstellung Warum zu uns? Wenn Du auf der Suche nach einer spannenden Herausforderung bist & Dich fachlich und persönlich weiterentwickeln möchtest dann bist Du bei uns genau richtig. Wir bieten unseren festangestellten Beratern attraktive Benefits mit denen wir unsere Wertschätzung zum Ausdruck bringen möchten. Homeoffice Firmenwagen Flexibilität Gehaltspaket Dienstrad Smartphone Notebook Weiterbildung Altersvorsorge Fühlst Du Dich als Berater in Kundenprojekten zu Hause? Dann werde Teil der ainovi Familie und bewirb Dich noch heute.
Remote Germany
Veeam is the Data and AI Trust Company specializing in helping organizations ensure their data and AI are fully understood secured and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management Veeam is built for the convergence of identity data security and AI risk. Headquartered in Seattle with offices in more than 30 countries Veeam protects over 550000 customers worldwide who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together growing learning and making a real impact for some of the world's biggest brands. About the Role Veeam following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. You will guide customers from needs assessment to solution design delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. What You'll Do Act as the primary technical contact for Securiti AI solutions during the sales cycle Lead technical discussions and deliver customized security solutions Address customer needs in data discovery posture management and compliance Design and present product demonstrations and proof-of-concepts Collaborate with product engineering and customer success teams to ensure smooth transitions What You'll Bring Significant experience in pre-sales or sales engineering Strong understanding of data and/or cloud security Effective communicator with both technical and business stakeholders 10+ years technical sales experience in security 15+ years in Software/SaaS/Enterprise technical sales Hands-on experience with AWS Azure or GCP Knowledge of data privacy/security standards (e.g. GDPR NIST 800-53 ISO 27001) Experience with DSPM frameworks Linux Kubernetes or cloud data systems Relevant certifications (CISSP CISM or cloud-specific) What You'll Get Veeam offers benefits that support your whole self 30 paid vacation days plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares Statutory public health insurance with employer and employee contributions Statutory pension scheme with employer and employee contributions Statutory accident insurance fully funded by Veeam Supplemental pension plan with employer match and salary sacrifice option Supplemental accident insurance with 24/7 worldwide coverage Opportunities to learn and grow through on-demand libraries (LinkedIn Learning O'Reilly) mentoring workshops and learning events like our annual Global Day of Learning Please note If an applicant is permanently located outside of Germany Veeam reserves the right to decline the application for this position. LI-DF1 LI-REMOTE Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race color religion gender age national origin citizenship disability veteran status or any other classification protected by federal state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice which explains how your information is collected used and handled in connection with hiring activities. By applying for this position you consent to this processing. By submitting your application you confirm that the information provided including any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation omission or falsification may result in disqualification from consideration or if discovered after employment begins termination of employment.
Remote United States
The Role As a Senior Data Engineer (B2B) you will own the development maintenance and evolution of data pipelines supporting Wpromote’s B2B clients and capabilities. You will work across client teams Data Engineering and Product to translate complex B2B marketing and business requirements into reliable scalable data solutions. This role will spend approximately 75–85% of its time supporting B2B client data needs with the remaining time focused on improving and standardizing our broader B2B data capabilities. You will own B2B data pipelines end-to-end including implementing approved modifications to downstream pipelines and data models when necessary to meet client requirements. This role also owns the data layer for measurement and scoring programs. Measurement methodology and analysis design are owned by strategy and analytics partners with this role building the datasets pipelines and validation tooling that support them. You will be expected to understand how changes flow through the broader data ecosystem evaluate their impact and implement solutions that preserve data quality and maintainability. As you identify common requirements across B2B clients you will help turn those patterns into standardized models reusable components and scalable B2B data capabilities that reduce repeated custom development. At Wpromote we believe that great work is only possible with great people. Our goal is to build a better more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing. We offer -Remote-first culture -Unlimited PTO -Extended Holiday break (Winter) -Flexible schedules -100% paid parental leave -401(k) matching -Medical Dental Vision Life Pet Insurance -Sponsored life insurance -Short Term Disability insurance and additional voluntary insurance -Annual Class Pass credits and more! The anticipated annual salary for this role will range from $105000-$135000 based on consideration of a wide array of factors unique to each candidate including but not limited to skill set years and depth of experience education and certifications competitive benchmarks scope of responsibility market dynamics geographic location and respective state’s salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above). This position may be performed remotely in most states within the US with some exclusions While this role offers the flexibility to work remotely we have office hubs in Los Angeles Chicago and New York where you can join in on learning and development opportunities fun events take advantage of a space to work and collaborate in person! This position is not eligible for immigration sponsorship Important Notice Beware of Job Scams Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity. LI-JJ LI-Remote ➡ You Will Be ➡ Owning the design development deployment and ongoing support of data pipelines for Wpromote’s B2B clients using BigQuery dbt Python and orchestration frameworks. Partnering with client teams and technical stakeholders to translate B2B marketing sales measurement and reporting requirements into reliable data solutions. Managing client-specific requirements throughout the data lifecycle including making approved modifications to downstream pipelines transformations and data models when required. Integrating and normalizing data across the B2B technology ecosystem including CRM marketing automation ABM and intent attribution enrichment sales engagement paid media web analytics and first-party product usage and telemetry data. Building data models that connect anonymous and known engagement leads contacts accounts campaigns opportunities marketing touchpoints and sales activity to support account-level measurement from initial engagement through pipeline and revenue. Understanding upstream and downstream dependencies troubleshooting complex production issues and ensuring changes maintain data quality reliability and scalability. Strengthening data quality through automated testing validation reconciliation monitoring and observability. Identifying recurring requirements across B2B clients and converting them into reusable models frameworks and configuration-driven solutions. Contributing to Wpromote’s standard B2B data architecture including common approaches to account resolution lifecycle stages funnel definitions and marketing-to-revenue measurement while maintaining flexibility for client-specific requirements. Using AI-assisted development tools to accelerate development debugging testing documentation and codebase exploration while maintaining accountability for production code. Building activation pipelines that push data back out to operational systems including syncing account segments scores and lifecycle stages to ad platforms writing enriched data and tasks back to CRM and keeping platform audiences current with warehouse state. Investigating and validating the behavior of third-party and vendor data feeds including delivery cadence restatement retention and schema semantics and designing pipelines that remain correct when feeds behave differently than documented. Building analytical datasets that support scoring model calibration and validation such as regression inputs from CRM history holdout construction lift analysis and feedback loops from sales dispositioning. You Must Have ➡ Bachelor’s degree in Computer Science Information Technology Engineering or a related field or equivalent practical experience. 5+ years of experience in data engineering analytics engineering or a related field with experience independently owning production data pipelines and data models. Advanced proficiency in SQL and BigQuery along with intermediate to advanced programming skills in Python. Strong experience with dbt or an equivalent transformation and orchestration framework including data modeling testing documentation and reusable development patterns. Strong understanding of data warehousing dimensional modeling data transformation and data quality principles. Hands-on data engineering or analytics experience with CRM and at least two other areas of the B2B technology ecosystem such as marketing automation ABM/intent attribution or paid media platforms. Strong understanding of B2B data models and customer journeys including lead/contact-to-account relationships lifecycle and funnel stages opportunity and pipeline data campaign membership marketing touchpoints and the challenges of connecting marketing activity to revenue. Experience integrating data across multiple B2B systems and reconciling differences in identifiers entities lifecycle definitions business processes and data structures. Strong problem-solving and communication skills including the ability to navigate ambiguous client requirements evaluate technical tradeoffs and communicate solutions to technical and non-technical stakeholders. Experience within an advertising agency consulting organization or other multi-client environment. Experience with lead-to-account matching and identity resolution including reconciling person-level and account-level data across systems. Experience reconstructing historical state from CRM and marketing data such as lifecycle and opportunity stage history snapshot-based feeds and changes in account ownership or campaign membership over time. Nice to Have ➡ Experience with platforms across the B2B ecosystem including CRM & Sales Salesforce Sales Cloud HubSpot Marketing Automation Marketo Pardot (Marketing Cloud Account Engagement) Eloqua ABM & Intent 6sense Demandbase B2B Measurement & Attribution Octane11 Adobe Marketo Measure (formerly Bizible) Data Enrichment & Prospecting ZoomInfo Sales & Conversational Engagement Salesloft Qualified Drift Content & Buyer Engagement PathFactory Experience with multi-touch attribution and sourced/influenced pipeline measurement including per-opportunity attribution models and credit window logic. Experience building B2B measurement models that connect marketing activity and media investment to account engagement opportunities pipeline and revenue. Experience working with historical CRM and marketing data including changes in lifecycle status opportunity stages campaign membership account ownership and other business events over time. Experience building reusable or configuration-driven data pipelines that support multiple clients while allowing controlled client-specific customization. Experience with data observability lineage metadata management or data quality platforms. Familiarity with orchestration technologies such as Airflow Dagster AWS Glue or Azure Data Factory along with modern software engineering practices including Git code review CI/CD and testing. Experience with audience syndication and reverse ETL patterns including platform audience APIs (DSP LinkedIn Meta) or tools such as Hightouch or Census. Experience managing BigQuery cost and performance across multiple clients including partitioning clustering and query cost discipline. Hands-on experience using AI-assisted software engineering tools such as Claude Code OpenAI Codex OpenCode Cursor GitHub Copilot or similar tools with the engineering judgment to review test and validate AI-generated solutions. What Success Looks Like ➡ Success in this role will center around three areas Client Ownership You will become a trusted technical owner for Wpromote’s B2B data pipelines independently translating complex client requirements into reliable solutions and confidently managing changes across upstream and downstream systems. Quality You will improve the reliability of our B2B data through stronger testing validation monitoring documentation and observability while proactively identifying and addressing recurring data issues. Scale You will recognize common patterns across B2B clients and help turn them into standardized reusable capabilities reducing repeated custom development while preserving the flexibility needed to support meaningful client-specific requirements. ➡ Wpromote is committed to bringing together individuals from different backgrounds and perspectives providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive feel a sense of belonging and do impactful work together. As an equal opportunity employer we prohibit any unlawful discrimination against a job applicant on the basis of their race color religion gender gender identity gender expression sexual orientation national origin family or parental status disability age veteran status or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify or if you believe that your employer has violated its E-Verify responsibilities please contact DHS.
Remote Canada
BeyondTrust is a place where you can bring your purpose to life through the work that you do creating a safer world through our cybersecurity SaaS portfolio. Our culture of flexibility trust and continual learning means you will be recognized for your growth and for the impact you make on our success. You will be surrounded by people who challenge support and inspire you to be the best version of yourself. The Role The Cloud Engineer designs secures and supports mission-critical cloud infrastructure that enables reliable services for users worldwide. The successful candidate demonstrates strong technical judgment operational discipline and the ability to apply practical solutions to complex cloud engineering challenges. What You'll Do Operate and maintain BeyondTrust's cloud infrastructure ensuring availability performance and operational health across all environments. Design deploy and secure multi-account AWS Azure and GCP environments in alignment with organizational standards. Design deploy and support AWS networking solutions including VPCs Transit Gateway VPC Peering PrivateLink VPC Endpoints and related routing and connectivity services. Develop and maintain reusable Terraform modules remote state management and version-controlled configurations that enforce infrastructure standards. Build and maintain CI/CD pipelines using GitHub Actions including self-hosted runners to deliver infrastructure and application changes consistently and reliably. Troubleshoot and resolve incidents apply patches validate backup and recovery processes and optimize infrastructure for performance and cost efficiency. Troubleshoot cloud connectivity issues with DNS routing load balancing and application communication across multi-account environments. Provide after-hours support as needed resolve incidents and document post-incident reviews and follow-up actions. Administer identity federation authentication authorization and privileged access controls across cloud platforms. Integrate manage and support third-party tools used for cloud access operations security and auditing. Enforce governance standards including account management resource tagging configuration compliance and capacity planning through controlled and auditable changes. Leverage AI-assisted engineering tools to develop reusable automation that accelerates delivery and improves team productivity. Create and maintain architecture diagrams Terraform standards SOPs troubleshooting guides and disaster recovery documentation. What You'll Bring 2+ years of experience designing securing and managing large cloud environments in AWS Azure or GCP. 2+ years of hands-on experience with AWS core services including networking compute storage load balancing monitoring and automation services. 2+ years of experience developing and maintaining Terraform modules or other infrastructure as code solutions. 2+ years of experience with AWS IAM including roles policies permissions and access management. Strong understanding of AWS networking including CIDR routing DNS security controls Transit Gateway and VPC connectivity services. 2+ years of experience with Git workflows version control scripting configuration management and automated infrastructure testing and validation. 2+ years of experience building or supporting CI/CD pipelines using GitHub Actions or similar automation platforms. 2+ years of scripting experience using Python (preferred) PowerShell or Bash. Strong troubleshooting problem-solving and root cause analysis skills. Familiarity with cloud monitoring and observability tools such as CloudWatch Prometheus or Datadog. 2+ years of experience working within ITSM and change management processes. Strong verbal and written communication skills including the ability to create and maintain technical documentation. Bachelor's degree in Computer Science Information Systems Computer Engineering or equivalent practical experience. Must Have AWS Certified Solutions Architect Associate AWS Certified CloudOps Engineer or equivalent cloud certification. 3+ years of experience in two or more of the following areas AWS Organizations Control Tower and multi-account governance. AWS networking including VPC IPAM WAF and hybrid network architectures. GitHub Actions self-hosted runners or CI/CD platform administration. Cloud observability infrastructure security or regulated environments. Implementing cloud controls aligned with SOC 2 ISO 27001 NIST CSF 2.0 or FedRAMP Moderate requirements. Experience using AI-assisted engineering tools such as GitHub Copilot Claude Code or equivalent solutions to improve development and operational efficiency. Better Together Diversity. Inclusion. They're more than just words for us. They are the guiding values of how we build our teams cultivate leaders and create a culture where people feel connected. We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together we are stronger together. About Us BeyondTrust is the global identity security leader protecting Paths to Privilege. Our identity-centric approach goes beyond securing privileges and access empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats whether from external attacks or insiders. BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks while creating a superior customer experience and operational efficiencies. We are trusted by 20000 customers including 75 of the Fortune 100 and our global ecosystem of partners. Learn more at www.beyondtrust.com. LI-BS1
Remote Brazil
"About the role We are looking for a Full Stack Engineer to spend most of their time building backend services in Java and Spring Boot with added work on the Angular frontend. This role leads a shift toward domain-driven design and clean RESTful API patterns moving away from legacy RPC styles. Strong relational database skills including PostgreSQL Oracle and JPA/Hibernate are essential. What you will do Spend the majority of your time (approx. 70-80%) designing and implementing robust backend services using Java and Spring Boot. Build and maintain the supporting Angular frontend ensuring a seamless connection between the UI and your backend logic. Lead the transition from traditional database-centric designs toward a domain-driven structure (DDD). Architect RESTful APIs that prioritize proper HTTP verbs and clean scalable patterns over legacy RPC styles. Work within cross-functional squads to deliver high-quality features while maintaining the ""cohesive and proactive"" spirit of the team. Must haves Advanced proficiency in Java (Spring Boot) and a solid working knowledge of Angular of at least 3 years. A strong grasp of Object-Oriented Design (OOD) and software design patterns. Deep experience building and consuming RESTful services with a clear understanding of standard API protocols. Experience working with relational databases (PostgreSQL Oracle) and JPA/Hibernate. Candidates must have robust transactional database experience (Oracle Postgres) strong SQL skills to navigate and optimize very complex SQL in KALC and a thorough understanding of enterprise-level high-transactional platforms. Lacking this specific database proficiency will be a direct reason for rejection. A passion for server-side logic performance and architecture. Upper-intermediate English level. Nice to haves Highly desirable Experience working with spec-driven development or related (AI-Driven Software Development Life Cycle). Previous experience in the Loyalty or Fintech sectors. Experience with cloud platforms (AWS or Azure) and containerization (Docker). Knowledge of CI/CD pipelines (Jenkins GitLab CI). Experience refactoring legacy structures into modern domain-driven architectures. Perks and benefits Growth without limits build your skills through mentorship internal TechTalks challenging projects and a dedicated annual learning budget Competitive compensation get recognition that reflects your skills and impact with regular performance and compensation reviews Flexibility work 100% remotely with flexible hours that support focus autonomy and a healthy work rhythm Meaningful modern projects build impactful products using modern technologies alongside global teams and leading brands Collaborative culture join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support access local well-being programs and people-focused support tailored to your location Job Type Full-time Work Location Remote"
Remote Brazil
"We are one of the fastest-growing technology and innovation groups in Latin America and since 2021 we’ve been operating in Portugal. We are currently collaborating with a leading global e-commerce group present in Asia Europe and in the Americas. In this context we are looking for someone with energy a sense of responsibility and motivation to take on the role of Fullstack developer mid in one of the strategic initiatives we are leading with this client. We work across various domains including Unified Commerce Application Development AI (of course) and Cybersecurity with over 1700 professionals distributed across 12 companies in Brazil Portugal and the United Kingdom – through projects managed services squads and staff augmentation. Portugal serves as our service hub for the Northern Hemisphere. From here our team supports clients in Portugal the European Union the United Kingdom and the United States. In Europe in addition to the FCamara brand as a technology service provider we are also the main investor and shareholder of Beta-i a leading name in the field of open and collaborative innovation. At FCamara members of our consulting and service teams – proudly known as Orange Blood – find a space to grow and develop their skills. We work on challenging initiatives with real impact creating the conditions for a true professional leap. Whether joining with prior experience or through our Orange Juice programme we are proud that many of our talents have gone on to become entrepreneurs or have progressed into leadership roles such as CTOs IT Directors Innovation Leads or other senior positions in companies around the world. ""Those who join FCamara usually leave much better than when they arrived."" – said by former Orange Bloods not by us. Responsabilidades e atribuições Mid Fullstack Engineer joining the Data cluster responsible for building and maintaining strategic data products that support both technical and business teams. Works closely with the R&D Products line to enable company-wide analytical insights and competitiveness. Key responsibilities Develop maintain and evolve data products for tech and business stakeholders Stay current with frontend/backend web technologies software architecture principles and design patterns Apply performance and security best practices Work within an Agile environment focused on delivery commitments and continuous improvement Use technologies such as C Python JavaScript HTML/CSS relational/non-relational databases Docker and Azure Requisitos e qualificações Mandatory Requirements Around 3-5 years working experience with .NET Node and React Hands-on experience with .NET Core Strong knowledge of TypeScript and React Solid experience with object-oriented programming languages Experience with unit and/or integration testing Experience with relational databases Familiarity with distributed systems and their common challenges/caveats Proactive enthusiastic profile with a genuine interest in data-driven solutions Capacity to work in English (B2+ level) Nice to Have Experience with NoSQL databases Experience with SOA (Service-Oriented Architecture) Experience with Kafka Beyond technical knowledge we also expect you to have a collaborative and team-oriented profile Ability to understand requirements and technical solutions Strong communication skills Critical thinking and a focus on continuous improvement Strong delivery mindset and commitment to deadlines and goals Informações adicionais This is a fully Remote position and we are exclusively considering applicants resident in Brazil with the availability to work in the time zone for Portugal (3 to 4 hour difference to the São Paulo/Brasília time zone depending on the time of the year). This position is part of a long-term project. Languages In this role work with both the FCamara team and the client will be conducted in English. As this will be your primary working language it is a requirement that you are professionally proficient in this language. Contract Model For this role we will work with contractor (PJ) situation. Nationality Residency and Visa We welcome professionals of any nationality provided they are fluent in the required language. This position does not include any VISA sponsorship or arrangements by FCamara. Aqui somos SangueLaranja! Estamos há 17 anos no mercado lado a lado com nossos clientes proporcionando experiências transformadoras. Somos um ecossistema de tecnologia e inovação com expansão global Além do Brasil estamos presentes na Europa e Reino Unido com escritórios em Portugal Londres Dubai e Holanda. F de Formação acreditamos na prática da cultura do compartilhamento no senso de comunidade e que o conhecimento tem o poder da transformação! Possuímos iniciativas e ações sociais que promovem o desenvolvimento como a comunidade tech Orange Juice o Programa de Formação nossa escola de liderança e diversas parcerias com ONGs e Edtechs. Na FCamara todos são bem-vindos para nós Diversidade Respeito e Ética são elementos inegociáveis e fazem parte do nosso DNA. E aí está pronto para fazer parte de um time incrível e ser protagonista da própria história?"
Remote Brazil
About the role We are looking for a Middle Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake following a medallion architecture across bronze silver and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development. What you will do Design build and operate batch and streaming data pipelines on Databricks using PySpark Delta Lake and Databricks Workflows. Model and maintain a medallion (bronze/silver/gold) architecture serving analytics reporting and machine learning consumers. Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption. Use Claude or Github Copilot as a development accelerator generating code scaffolding writing and reviewing tests creating documentation and prototyping solutions. Write clean well-tested Python and SQL maintain high standards through code review and documentation. Optimize Spark jobs and Delta tables for performance and cost including partitioning clustering caching and cluster sizing. Implement data quality lineage and governance controls using Unity Catalog and automated validation checks. Debug troubleshoot and resolve pipeline failures data defects and production incidents. Collaborate with DevOps platform and analytics engineers on observability security and compliance best practices. Must haves 3+ years of professional experience in data engineering featuring direct expertise with Apache Spark and cloud-based data architectures. Strong hands-on experience building data pipelines with Databricks Apache Spark (PySpark) and Delta Lake. Advanced SQL and Python with strong data modeling skills across dimensional and Lakehouse patterns. Experience with streaming ingestion using Structured Streaming Auto Loader Kafka or Event Hubs. Experience with workflow orchestration (Databricks Workflows Airflow or Azure Data Factory). Experience with legacy platform migrations ETL modernization or managing data hygiene when porting old systems. Strong problem-solving collaboration and communication skills. Familiarity with Unity Catalog data governance access control and PII handling. Experience with dbt or an equivalent transformation framework. Familiarity with secure coding standards and industry security best practices. Experience delivering production data platforms at scale. Upper-intermediate English level. Nice to haves Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure DevOps. Experience working with relational databases (specifically PostgreSQL) and data persistence concepts. Familiarity with logging and monitoring tools (e.g. Dynatrace CloudWatch Databricks system tables). Experience working in Agile or team-based development environments preferred. Perks and benefits Growth without limits build your skills through mentorship internal TechTalks challenging projects and a dedicated annual learning budget Competitive compensation get recognition that reflects your skills and impact with regular performance and compensation reviews Flexibility work 100% remotely with flexible hours that support focus autonomy and a healthy work rhythm Meaningful modern projects build impactful products using modern technologies alongside global teams and leading brands Collaborative culture join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support access local well-being programs and people-focused support tailored to your location Job Type Full-time Work Location Remote
Remote Brazil
BRAZIL RESIDENTS ONLY. Company Overview At FoodChain ID we are driven by our vision to make it easier to keep the food supply chain safe and transparent. As a global leader in food safety compliance and product innovation solutions we support more than 30000 companies across more than 100 countries with a comprehensive software platform that enables leading food manufacturers and retailers to manage compliance risk and efficiently access new markets and consumers as the New Food Economy continues to evolve. Job Title Business Analyst and Product Commercialization Lead Reports To Director Product and Delivery Enablement Location Remote Job Type Full Time Job Overview The Business Analyst and Product Commercialization Lead works as part of the Product Management team supporting FoodChain ID's Enterprise Solutions portfolio which includes Formulation for PLM Compliance Analysis and Recipes & Specifications. The role covers the two stretches of work that sit on either side of development getting work ready to build and getting built work ready to deliver. On the front end the role develops the epics features user stories and acceptance criteria that carry an idea into a development-ready state working day to day with the Product Management team which sets feature scope and prioritization. Doing this well means understanding the product domain deeply enough to write requirements engineering can build from without a second round of clarification. On the back end the role makes sure that what development delivers is ready for customers owning release communication producing and maintaining product documentation and building the training and services enablement assets that Services Support and Sales need to put new functionality to work. Consistent use of AI tooling is expected including building and refining agent skills that reduce the manual effort of keeping documentation and release content current as features ship. Key Responsibilities Requirements Definition and Development Readiness Develop epics features and user stories from product direction customer input and conversations with subject matter experts (SMEs) working under the direction of the Product Management team which owns feature scope and prioritization. Author clear testable acceptance criteria and confirm shared understanding with engineering and QA before work is committed to a sprint. Conduct the upfront research and analysis that makes story-writing and refinement sessions productive so that decisions rest on evidence. Work closely with SMEs Services and business partners to understand the product needs behind a request and translate them into requirements a development team can build from. Review or create process and system flow maps documenting the business domain including the business rules and logic needed to incorporate a process into the system. Identify and document story dependencies to support refinement and sequencing. Maintain a regular cadence for story definition writing review and refinement keeping a backlog of sufficient depth and readiness to support team velocity. Participate in backlog refinement sprint planning and demos as the analyst closest to the requirements. Delivery Coordination Track development progress against committed plans so that commercialization work is timed to when functionality will land. Raise scope changes emerging gaps and at-risk dates to the Product Management team early with the specifics needed to make a decision. Review delivered functionality against acceptance criteria before it is considered ready for customers and flag discrepancies. Contribute delivery and release content to the recurring account reporting and business reviews prepared by product leadership. Release Communication Own release communication end to end build and operate a repeatable process that captures release content as it is developed. Write release notes for every release translating technical changes into language customers can act on and publish them on a predictable cadence. Brief Services Support and Sales ahead of customer-visible changes so that internal teams are never behind the customer. Coordinate the timing of release communication with documentation and enablement updates so that customers and internal teams encounter a consistent picture. Product Documentation Own the customer documentation portal as its primary author and editor and keep published content aligned with shipped functionality. Drive documentation updates from the same source that drives release notes so that both are produced from one pass through each release. Improve the structure and quality of existing documentation over time prioritizing the areas where support escalations and customer questions indicate confusion. Establish and maintain standards for voice structure and depth so that content stays consistent as contributors change. Training and Services Enablement Develop the training and enablement assets that accompany newly delivered functionality including written guides walkthroughs and reference material for customer and internal audiences. Build the baseline materials templates and content standards that the Services team adapts and delivers for customer-specific training. Deliver internal enablement sessions for Services Support and Sales as significant functionality ships. Use support escalation and defect trends to identify where documentation or training gaps are generating avoidable customer friction and close those gaps. Implementation Templates and Standards Support the implementation templatization program led by the Director Product and Delivery Enablement which builds the out-of-the-box configuration data and documentation starting point that Services and customers deploy from. Own the documentation and content components of the standard package and deliver assigned tasks within the program plan. Launch Readiness and Adoption Maintain a launch readiness standard for customer-visible functionality confirming that documentation training assets internal enablement and release communication are complete before a release reaches customers. Track adoption of newly released functionality and report on it so that the value of what we ship is visible. What Success Looks Like in the First Year Stories and acceptance criteria reach development ready to build with clarification cycles the exception rather than the norm. Release notes publish on a predictable cadence for every release and published documentation matches shipped functionality. No significant functionality reaches customers without documentation training assets and internal enablement in place. Services and Support are equipped to deliver customer training from materials they did not have to build themselves. Adoption of newly released functionality is measured and reported on a regular cadence. Required Qualifications Three or more years of experience in business analysis product management product commercialization or a comparable role on a software product team. Two or more years as a member of an Agile team ideally as a Business Analyst Product Owner or Scrum Master. Demonstrated experience authoring user stories and acceptance criteria that a development team built from. Experience working directly with business stakeholders and SMEs and translating their needs into development-ready requirements. Demonstrated experience producing customer-facing content such as product documentation release notes user guides or training material. Strong written communication with the range to write for developers executives and customers and adjust register accordingly. Working knowledge of the software development lifecycle and of Agile and Kanban practices. Proficiency with development planning tools such as Jira Azure DevOps and Confluence. Comfortable using AI tools to draft review and maintain content. Comfortable working with product usage or support data to produce straightforward adoption and quality reporting. Professional customer-facing communication style with the poise to lead a working session or enablement session. Preferred Qualifications Experience authoring User Stories using Gherkin acceptance criteria. Experience with enterprise SaaS products cloud architectures enterprise system implementations and system integrations. Background in food technology food science or food compliance or familiarity with PLM or related food-industry software. Experience owning product launch or commercialization readiness for a software product including internal enablement of services or sales teams. Experience building or maintaining a customer-facing documentation site or knowledge base. Experience writing or configuring agent skills (Claude ChatGPT or similar) for content maintenance or reporting. Experience translating UI/UX storyboards into development stories. Familiarity with product analytics or support ticket data and comfort building straightforward reports. Additional Information All your information will be kept confidential according to EEO guidelines. Un18OLuF4f
Remote Brazil
About the role We are looking for an experienced Senior Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake following a medallion architecture across bronze silver and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development. What you will do Design build and operate batch and streaming data pipelines on Databricks using PySpark Delta Lake and Databricks Workflows. Model and maintain a medallion (bronze/silver/gold) architecture serving analytics reporting and machine learning consumers. Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption. Use Claude or Github Copilot as a development accelerator generating code scaffolding writing and reviewing tests creating documentation and prototyping solutions. Write clean well-tested Python and SQL maintain high standards through code review and documentation. Optimize Spark jobs and Delta tables for performance and cost including partitioning clustering caching and cluster sizing. Implement data quality lineage and governance controls using Unity Catalog and automated validation checks. Debug troubleshoot and resolve pipeline failures data defects and production incidents. Participate in Agile or product-centric delivery practices including sprint planning and retrospectives. Collaborate with DevOps platform and analytics engineers on observability security and compliance best practices. Must haves 4+ years of professional experience in data engineering featuring direct expertise with Apache Spark and cloud-based data architectures. Strong hands-on experience building data pipelines with Databricks Apache Spark (PySpark) and Delta Lake. Advanced SQL and Python with strong data modeling skills across dimensional and Lakehouse patterns. Experience with streaming ingestion using Structured Streaming Auto Loader Kafka or Event Hubs. Experience with workflow orchestration (Databricks Workflows Airflow or Azure Data Factory). Experience with legacy platform migrations ETL modernization or managing data hygiene when porting old systems. Strong problem-solving collaboration and communication skills including mentoring junior engineers and explaining data concepts to non-technical stakeholders. Familiarity with Unity Catalog data governance access control and PII handling. Experience with dbt or an equivalent transformation framework. Familiarity with secure coding standards and industry security best practices. Experience delivering production data platforms at scale. Upper-intermediate English level. Nice to haves Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure Devops. Experience working with relational databases (specifically PostgreSQL) and data persistence concepts. Familiarity with logging and monitoring tools (e.g. Dynatrace CloudWatch Databricks system tables). Experience working in Agile or team-based development environments preferred. Perks and benefits Growth without limits build your skills through mentorship internal TechTalks challenging projects and a dedicated annual learning budget Competitive compensation get recognition that reflects your skills and impact with regular performance and compensation reviews Flexibility work 100% remotely with flexible hours that support focus autonomy and a healthy work rhythm Meaningful modern projects build impactful products using modern technologies alongside global teams and leading brands Collaborative culture join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support access local well-being programs and people-focused support tailored to your location Job Type Full-time Work Location Remote
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