Search 8,228 Remote AWS Machine Learning Jobs

MLOps Engineer (m/w/d)

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.

Staff Backend Engineer

Remote Germany

Who We Are AI is changing how software gets built. Code production is becoming a commodity. The focus is shifting from writing code to specifying orchestrating verifying and governing change – and the toolchain is the new constraint. We are at the center of this shift. We build Develocity a toolchain observability and intelligence platform used by some of the world's leading software organizations – Netflix Airbnb Spotify SAP major global banks and hundreds more. Develocity helps software teams achieve delivery excellence through deep observability build and test acceleration and AI-powered intelligence across the entire toolchain – with support for Gradle Build Tool Apache Maven sbt npm Python and Bazel. We are an AI-native company. AI is not a feature we're bolting on – it's central to how we work how we think about our product and where we're heading. Develocity encodes a decade of build and test expertise into a context engineering layer the ground truth AI agents need to change code safely and the governance to attribute and gate that change at machine speed. Trust evidence and explainability are at the core of everything we build. We have partnered with the Apache Software Foundation the Commonhaus Foundation the Micronaut Foundation and other OSS projects such as Spring Quarkus Kotlin JUnit AndroidX and many more to bring the values of Develocity also to the OSS Community. Our Values Seek to Understand Everything starts with listening and understanding and we strive to understand different viewpoints problems and motivations. Before we take action we ensure we truly grasp the challenges perspectives and goals. Know the Why We approach our work with a clear sense of purpose ensuring every step is deliberate and focused. We take meaningful action with urgency but never at the expense of thoughtful consideration. Innovate & Iterate We embrace challenges and are not afraid to try new things even if they might fail. With deep understanding and a clear purpose we can develop creative and bold solutions to tackle challenges. Own the Outcome We are empowered to take initiative and we maintain transparency in our work and its outcomes. When we execute we take responsibility for our decisions measure the success of our innovations and learn from the results. Who You Are - You're an experienced Staff Software Engineer and your adoption of AI has changed the scale of what you take on. You've taken initiatives that were ambiguous at the start created structure where none existed and driven them across teams to completion. You use what you build and push for everyone around you to do the same. You judge your work by how much value reaches customers and how quickly. You make consequential calls with pragmatism and without close guidance and you bring stakeholders and leadership with you. That judgment covers product direction as much as technical aspects. You have a strong record of delivering testable evolvable and scalable back-end architectures to production and you thrive on the problems that come with them. You don't need to be a build expert though you bring a deep understanding of and interest in the automation domain as well as developer and AI agent productivity. You hold strong opinions articulate them clearly and change them when the evidence says so. Working in a distributed team suits you and you can write concise documents that align everyone. Responsibilities Design implement test deliver and maintain Develocity features Own ambiguous initiatives from discovery through production to proven impact Surface scope and delivery risk early across the initiatives you run and drive the mitigation Write the discoveries and specifications that turn several teams' input into one coherent plan Set the standard in the day-to-day the code you write the reviews you give and how you use AI Dogfood what you ship and keep the practice strong across teams Work and communicate directly with customers on product discoveries and rollouts Participate in Develocity releases in collaboration with the entire engineering team Minimum Qualifications Effective use of AI to ship quality software at high velocity In-depth experience with Java or another JVM language (our codebase is primarily Java) Experience leading complex features end-to-end and cross-team Proficiency in written and spoken English Self-motivated and self-managing with excellent organizational skills Preferred Qualifications Building systems where AI agents are a primary consumer Working on developer tools Automating the software build and delivery process Working with AWS Docker and Kubernetes Designing and scaling fault-tolerant highly-available distributed systems What We Offer - Opportunity to work on a widely-used product with a clear vision for the future Work on the problem AI created verifying and governing change at machine scale Close customer interaction with engineers from leading tech organizations An automation-focused test-driven engineering culture where working with frontier AI is the default Close collaboration with experienced and dedicated peer engineers Opportunities for growth in technical and leadership responsibilities In-person meetings such as our annual company offsite and team meetings Work from home in a remote-first environment Competitive salaries and equity grants Location Remote from Europe with working conditions allowing seamless collaboration with your colleagues through email chat and video conferencing

Staff Backend Engineer

Remote France

Who We Are AI is changing how software gets built. Code production is becoming a commodity. The focus is shifting from writing code to specifying orchestrating verifying and governing change – and the toolchain is the new constraint. We are at the center of this shift. We build Develocity a toolchain observability and intelligence platform used by some of the world's leading software organizations – Netflix Airbnb Spotify SAP major global banks and hundreds more. Develocity helps software teams achieve delivery excellence through deep observability build and test acceleration and AI-powered intelligence across the entire toolchain – with support for Gradle Build Tool Apache Maven sbt npm Python and Bazel. We are an AI-native company. AI is not a feature we're bolting on – it's central to how we work how we think about our product and where we're heading. Develocity encodes a decade of build and test expertise into a context engineering layer the ground truth AI agents need to change code safely and the governance to attribute and gate that change at machine speed. Trust evidence and explainability are at the core of everything we build. We have partnered with the Apache Software Foundation the Commonhaus Foundation the Micronaut Foundation and other OSS projects such as Spring Quarkus Kotlin JUnit AndroidX and many more to bring the values of Develocity also to the OSS Community. Our Values Seek to Understand Everything starts with listening and understanding and we strive to understand different viewpoints problems and motivations. Before we take action we ensure we truly grasp the challenges perspectives and goals. Know the Why We approach our work with a clear sense of purpose ensuring every step is deliberate and focused. We take meaningful action with urgency but never at the expense of thoughtful consideration. Innovate & Iterate We embrace challenges and are not afraid to try new things even if they might fail. With deep understanding and a clear purpose we can develop creative and bold solutions to tackle challenges. Own the Outcome We are empowered to take initiative and we maintain transparency in our work and its outcomes. When we execute we take responsibility for our decisions measure the success of our innovations and learn from the results. Who You Are - You're an experienced Staff Software Engineer and your adoption of AI has changed the scale of what you take on. You've taken initiatives that were ambiguous at the start created structure where none existed and driven them across teams to completion. You use what you build and push for everyone around you to do the same. You judge your work by how much value reaches customers and how quickly. You make consequential calls with pragmatism and without close guidance and you bring stakeholders and leadership with you. That judgment covers product direction as much as technical aspects. You have a strong record of delivering testable evolvable and scalable back-end architectures to production and you thrive on the problems that come with them. You don't need to be a build expert though you bring a deep understanding of and interest in the automation domain as well as developer and AI agent productivity. You hold strong opinions articulate them clearly and change them when the evidence says so. Working in a distributed team suits you and you can write concise documents that align everyone. Responsibilities Design implement test deliver and maintain Develocity features Own ambiguous initiatives from discovery through production to proven impact Surface scope and delivery risk early across the initiatives you run and drive the mitigation Write the discoveries and specifications that turn several teams' input into one coherent plan Set the standard in the day-to-day the code you write the reviews you give and how you use AI Dogfood what you ship and keep the practice strong across teams Work and communicate directly with customers on product discoveries and rollouts Participate in Develocity releases in collaboration with the entire engineering team Minimum Qualifications Effective use of AI to ship quality software at high velocity In-depth experience with Java or another JVM language (our codebase is primarily Java) Experience leading complex features end-to-end and cross-team Proficiency in written and spoken English Self-motivated and self-managing with excellent organizational skills Preferred Qualifications Building systems where AI agents are a primary consumer Working on developer tools Automating the software build and delivery process Working with AWS Docker and Kubernetes Designing and scaling fault-tolerant highly-available distributed systems What We Offer - Opportunity to work on a widely-used product with a clear vision for the future Work on the problem AI created verifying and governing change at machine scale Close customer interaction with engineers from leading tech organizations An automation-focused test-driven engineering culture where working with frontier AI is the default Close collaboration with experienced and dedicated peer engineers Opportunities for growth in technical and leadership responsibilities In-person meetings such as our annual company offsite and team meetings Work from home in a remote-first environment Competitive salaries and equity grants Location Remote from Europe with working conditions allowing seamless collaboration with your colleagues through email chat and video conferencing

Machine Learning Engineer

Remote Canada

A Career at Clarius Today as many as 25 million medical professionals globally don’t have access to medical imaging which is proven to improve patient care and reduce healthcare costs. That’s why we’re on a mission to make medical imaging accessible everywhere by delivering high-performance affordable and easy-to-use solutions powered by artificial intelligence and connected to the cloud. By making Clarius your next career move you’re joining a team of 150+ people who are talented innovative and highly collaborative. You’re also joining a community that includes thousands of physicians worldwide who use Clarius to deliver better patient care! And you’re joining a thrice-certified Great Place to Work! Your Role Clarius Mobile Health is seeking a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while advancing our next-generation innovations. Over the next 24 months you'll focus on the development training and deployment of machine learning models in both research and production settings. This role requires strong software engineering practices and the ability to find creative solutions that continually improve the performance and safety of ML in production. If we meet our project milestones there's a strong possibility of this role being extended or turning into a permanent position Your Responsibilities Include Develop train and deploy machine learning models for both research and production environments Improve and maintain ML tools ensuring robustness and scalability Design optimize and maintain ML data pipelines for efficient processing and training Automate ML tasks model retraining evaluation and monitoring in production Collaborate with researchers and software engineers to transfer ML research into practical applications Address and minimize ML technical debt ensuring maintainable and efficient code Optimize model performance and inference speed for production deployment Your Experience so Far Bachelor's or Master's degree in Computer Science Machine Learning or equivalent field 3+ years of industry experience in machine learning roles Deep expertise in deep learning and computer vision Mastery in Python development with Unix/Linux Proficiency in TensorFlow and PyTorch Software engineering best practices (version control testing code quality) Ability to communicate ML concepts to technical audiences Preferred C++ and Javascript development Building scalable web applications and ML tools Model optimization and inference speed tuning Cloud platforms and deployment (Docker Kubernetes AWS GCP) Location Vancouver BC (hybrid preferred remote candidates will be considered) Contract Duration Two-year fixed-term through October 2028 with strong likelihood of extension upon meeting project deliverables Salary Range $110000 - $130000 CAD More Reasons to Consider Be Part of a High-Impact Project – You’ll play a key role in creating a more affordable ultrasound solution making medical imaging more accessible worldwide. Work for a Three-Time Certified Great Place to Work – Clarius has been recognized three times as a great place to work and you’ll be joining a company that values innovation teamwork and employee well-being. Workspace Our modern office features sit/stand desks various health & wellness facilities a stocked kitchen outdoor amenities on-site daycare enclosed parking a free on-site gym and close proximity to a SkyTrain station. Clarius Mobile Health is proud to be an Equal Opportunity Employer. We encourage applications from any qualified candidate regardless of ethnicity religion age national origin disability status sexual orientation gender identity or expression. Please let us know if you require any accommodations during the interview process. Use of Artificial Intelligence in the Recruitment Process As part of our recruitment and assessment process we may use artificial intelligence tools to support certain activities. This may include but is not limited to reviewing applications supporting candidate assessments and conducting or facilitating one way video interviews. Where AI tools are used they are intended to support our recruitment process and do not replace human decision making. Candidates may be informed where AI is used as part of an assessment and will have the opportunity to engage with the recruitment process in accordance with applicable laws and our recruitment practices. Requirements Bachelor's or Master's degree in Computer Science Machine Learning or equivalent field 3+ years of industry experience in machine learning roles Strong background in machine learning and artificial intelligence with expertise in deep learning and computer vision Mastery in Python development with Unix/Linux. You strive for clean correct code while iterating on experiments in Python Knowledge of common ML frameworks TensorFlow and PyTorch Experience in software engineering best practices including version control testing and code quality Ability to explain and present analyses and machine learning concepts to a broad technical audience A passion for making ML methods robust scalable and maintainable Preferred C++ and Javascript development experience Experience with building scalable web applications and ML tools Experience optimizing model performance and inference speed Familiarity with cloud platforms and deployment tools (Docker Kubernetes AWS GCP) What You'll Bring Strong problem-solving skills and ability to tackle complex ML engineering challenges Collaborative mindset thriving in cross-functional teams Commitment to continuous improvement and learning Initiative to address technical challenges and drive innovation

Engagement Manager

While technology is the heart of our business a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency diversity integrity learning and growth. If working in an environment that encourages you to innovate and excel not just in professional but personal life interests you- you would enjoy your career with Quantiphi! About Quantiphi Quantiphi is an award-winning AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013 Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston with more than 4000 professionals worldwide we partner with global enterprises to deliver large-scale digital cloud and AI-driven transformation. SolvingWhatMatters. We Are An Elite And Premier Partner To Google Cloud AWS NVIDIA Snowflake And Other Leading Technology Platforms And Our Work Has Been Recognized Across The Industry Including 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner Forrester IDC ISG Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences Healthcare Banking Financial Services CPG Manufacturing Energy High-Tech Telecommunications etc. powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details visit Website or LinkedIn Page Role Engagement Manager Employment type Full Time Experience 8+ years Location Remote (Canada) Description We are looking for a strong EM lead with people management experience to lead a team of business analysts and engineers focused on building and driving solutions and insights to drive business efficiency and customer experience. The ideal candidate will have strong project management leadership and cross-group collaboration skills. What You Will Do As an Senior Engagement Manager you’ll lead the delivery management of multi-functional medium/large scale AWS programs covering project planning delivery assurance and verification tracking and reporting and risk/mitigation planning. Take accountability for our customers to ensure the program(s) realizes financial benefits and transformational outcomes constantly identify and develop new business opportunities. Work with engineering leads in strategizing and executing multi-year roadmap on portfolio of products applications and services. Ensure quality execution and proactively identify potential customer issues and resolve them with speed and efficiency to drive satisfaction outcomes and deliver positive customer partner experience. Coordinate measure monitor and communicate on program(s) health. Actively contribute to org-wide strategies in defining and implementing those along with contributing to team’s roadmap and portfolio of services in alignment to the wider organization. Maintain a relentless focus across the team on continuous improvement planning and implementing changes to process service and technology to transform how the team operates. Build a collaborative environment - coach/mentor team members. Recruit motivate and develop highly skilled staffs that focuses on service delivery of key performance metrics as per the client contract. Basic Qualifications Master's degree or equivalent practical experience. Minimum 8 yrs of experience in delivering digital transformation projects to global clients. Experience in program management client service and/or management consulting. Knowledge of leading teams on projects using agile methodology and frameworks like scrum kanban or XP etc. Strong verbal and written communication skills with technical and business leaders at all levels within large enterprises. Aptitude in business analysis and leveraging quantitative analysis techniques for decision making. Ability to work with minimal supervision in a dynamic and time sensitive work environment. Knowledge and willingness to learn and apply emerging trends in business research data science artificial intelligence machine learning and cloud computing - AWS exposure is a value addition. Team management experience is a must. What Is In It For You Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. Lead and collaborate with a high-energy team of talented driven individuals solving complex meaningful challenges. Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI ML data and cloud technologies while continuously upskilling. If you like wild growth and working with happy enthusiastic over-achievers you'll enjoy your career with us !

Technical Recruiter (Remote)

Role Technical Recruiter (Remote) Location Remote (Work from Anywhere) Job Type Full-Time Payout $160K - $300K/yr Role Overview This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing screening and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions. Key Responsibilities • Design implement and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency. • Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis. • Integrate Zara with applicant tracking systems HR databases and third-party job platforms via APIs. • Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics. • Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows. Required Skills & Qualifications • Proficiency in Python including experience with machine learning frameworks like TensorFlow or PyTorch. • Strong background in natural language processing including experience with libraries such as spaCy or Hugging Face. • Experience building and deploying scalable AI systems in production environments. • Familiarity with cloud platforms (AWS GCP or Azure) and containerization tools like Docker. • Knowledge of SQL and NoSQL databases for data extraction and integration. • Understanding of ethical AI principles and bias mitigation techniques in recruitment systems. • Experience with RESTful APIs and microservices architecture. • Background in data pipeline development and ETL processes. More About the Opportunity This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology. Equal Opportunity Employer We hire based on skills and expertise. All qualified candidates are welcome regardless of background experience or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

Staff Backend Engineer

Remote United Kingdom

Who We Are AI is changing how software gets built. Code production is becoming a commodity. The focus is shifting from writing code to specifying orchestrating verifying and governing change – and the toolchain is the new constraint. We are at the center of this shift. We build Develocity a toolchain observability and intelligence platform used by some of the world's leading software organizations – Netflix Airbnb Spotify SAP major global banks and hundreds more. Develocity helps software teams achieve delivery excellence through deep observability build and test acceleration and AI-powered intelligence across the entire toolchain – with support for Gradle Build Tool Apache Maven sbt npm Python and Bazel. We are an AI-native company. AI is not a feature we're bolting on – it's central to how we work how we think about our product and where we're heading. Develocity encodes a decade of build and test expertise into a context engineering layer the ground truth AI agents need to change code safely and the governance to attribute and gate that change at machine speed. Trust evidence and explainability are at the core of everything we build. We have partnered with the Apache Software Foundation the Commonhaus Foundation the Micronaut Foundation and other OSS projects such as Spring Quarkus Kotlin JUnit AndroidX and many more to bring the values of Develocity also to the OSS Community. Our Values Seek to Understand Everything starts with listening and understanding and we strive to understand different viewpoints problems and motivations. Before we take action we ensure we truly grasp the challenges perspectives and goals. Know the Why We approach our work with a clear sense of purpose ensuring every step is deliberate and focused. We take meaningful action with urgency but never at the expense of thoughtful consideration. Innovate & Iterate We embrace challenges and are not afraid to try new things even if they might fail. With deep understanding and a clear purpose we can develop creative and bold solutions to tackle challenges. Own the Outcome We are empowered to take initiative and we maintain transparency in our work and its outcomes. When we execute we take responsibility for our decisions measure the success of our innovations and learn from the results. Who You Are - You're an experienced Staff Software Engineer and your adoption of AI has changed the scale of what you take on. You've taken initiatives that were ambiguous at the start created structure where none existed and driven them across teams to completion. You use what you build and push for everyone around you to do the same. You judge your work by how much value reaches customers and how quickly. You make consequential calls with pragmatism and without close guidance and you bring stakeholders and leadership with you. That judgment covers product direction as much as technical aspects. You have a strong record of delivering testable evolvable and scalable back-end architectures to production and you thrive on the problems that come with them. You don't need to be a build expert though you bring a deep understanding of and interest in the automation domain as well as developer and AI agent productivity. You hold strong opinions articulate them clearly and change them when the evidence says so. Working in a distributed team suits you and you can write concise documents that align everyone. Responsibilities Design implement test deliver and maintain Develocity features Own ambiguous initiatives from discovery through production to proven impact Surface scope and delivery risk early across the initiatives you run and drive the mitigation Write the discoveries and specifications that turn several teams' input into one coherent plan Set the standard in the day-to-day the code you write the reviews you give and how you use AI Dogfood what you ship and keep the practice strong across teams Work and communicate directly with customers on product discoveries and rollouts Participate in Develocity releases in collaboration with the entire engineering team Minimum Qualifications Effective use of AI to ship quality software at high velocity In-depth experience with Java or another JVM language (our codebase is primarily Java) Experience leading complex features end-to-end and cross-team Proficiency in written and spoken English Self-motivated and self-managing with excellent organizational skills Preferred Qualifications Building systems where AI agents are a primary consumer Working on developer tools Automating the software build and delivery process Working with AWS Docker and Kubernetes Designing and scaling fault-tolerant highly-available distributed systems What We Offer - Opportunity to work on a widely-used product with a clear vision for the future Work on the problem AI created verifying and governing change at machine scale Close customer interaction with engineers from leading tech organizations An automation-focused test-driven engineering culture where working with frontier AI is the default Close collaboration with experienced and dedicated peer engineers Opportunities for growth in technical and leadership responsibilities In-person meetings such as our annual company offsite and team meetings Work from home in a remote-first environment Competitive salaries and equity grants Location Remote from Europe with working conditions allowing seamless collaboration with your colleagues through email chat and video conferencing

Junior Software Engineer (Remote)

Ontario, Canada

Overview Of The Role We’re on a mission to modernize insurance making it simpler more accessible and customer-first. The insurance industry is a $1T market that’s remained largely untouched by the digital revolution and PolicyMe is here to change that. As a remote-first Toronto-based startup with big ambitions we’re building the future of insurance in Canada and beyond. We're building a groundbreaking new product line that will transform the insurance broker experience through AI and machine learning. As an AI-Driven Full Stack Engineer you'll be part of a team charting new territory - designing and implementing intelligent systems that automate manual processes and unlock powerful data-driven insights. You will work across the stack contributing to front end back end and AI/ML initiatives while also participating in architecture discussions release planning and company-wide engineering initiatives. Our core stack includes Python React Redux PostgreSQL n8n LangChain/LangGraph and AWS and we are always open to adopting new tools and technologies that help us deliver better results. What you'll be doing Develop full stack features for our AI-powered web application using Python React Redux PostgreSQL and AWS Integrate AI models and APIs for tasks like document processing data extraction recommendation engines etc Work closely with Sr. Engineers experienced in AI to seamlessly integrate models into production Stay current on emerging AI technologies/frameworks and explore new applications Build scalable reliable backend services to fuel our AI workflows Create intuitive user experiences that surface AI-powered capabilities Participate in architecture planning code reviews and ideation sessions Take ownership of feature development end-to-end (once ramped up) coordinating with QA and other teams Engage in cross-team communication to help unblock dependencies and improve release flow Share ideas during quarterly planning to help shape what we build next Participate in company-wide initiatives such as hackathons engineering guilds and AI tooling experiments What we are looking for Strong full-stack development skills with the ability to work across backend and frontend using Python React Redux PostgreSQL and AWS Familiarity with AI/ML concepts from coursework side projects or work experience Passion for building intelligent applications that solve real-world problems Eagerness to learn embrace ambiguity and continually upskill in a rapidly evolving space Hands-on experience or projects interacting with AI APIs/models (e.g. prompt engineering) Self-starter with a career-driven mindset who thrives in an environment with autonomy and accountability Collaborative team player with low ego who is open to feedback and eager to help others Detail-oriented approach to problem-solving especially in complex domains Why join us Generous PTO - 20 vacation days A comprehensive benefits plan with premiums paid in full by PolicyMe Investment in your professional development including an L&D budget AI tooling budget performance reviews twice a year and ongoing feedback to ensure you reach your highest potential An extremely high performing low-ego remote-first team that is truly disrupting an old industry Option to work from home or our Toronto-based office (bonus we cover the costs to bring all our employees in-person twice a year for experiential socials!) Access to stock options based on performance Compensation The total target cash compensation for this role is $80000-$110000 CAD based on experience. We’ll walk through the details together during the interview About PolicyMe At PolicyMe we are Canada’s leading digital insurance solution offering straightforward and affordable financial protection for families from coast to coast. Our product suite includes Life Insurance Critical Illness Insurance and Health & Dental Insurance all tailored to Canadians' evolving needs. We also offer B2B2C solutions partnering with organizations to provide seamless digital insurance options. Founded by a team of insurance experts and technology entrepreneurs PolicyMe is committed to making insurance simpler and more accessible. Since our launch in 2018 we have grown exponentially selling over $10 billion in insurance coverage to Canadians. We are proud of the team we’ve built and are excited for those that are yet to join us. We operate with a remote-first culture attracting top talent from across Canada. If you’re looking for a fast-paced collaborative environment working alongside incredibly ambitious yet humble humans we may be the right place for you! To learn more visit www.policyme.com. Additional Notes Job Vacancy This role reflects growth in our team and expanded operational scope. We’re hiring to support increasing demand and continue delivering an exceptional customer experience Commitment to Equal Opportunity PolicyMe is an equal opportunity employer. We welcome applicants of all backgrounds and provide fair consideration regardless of race colour religion sex sexual orientation gender identity national origin or disability Accessibility Statement We are committed to providing an accessible hiring experience. If you require accommodations during the application process please indicate this in the “Additional Information” section of your application We thank all applicants for their interest however only those selected for an interview will be contacted. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Full Stack Engineer

About Virtualitics Virtualitics is the category leader in AI-native readiness applications for defense government and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL we are led by scientists strategists and servicemembers united by a single mission to solve the world’s most complex mission-critical challenges with AI. Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready what’s at risk and what to do next. By identifying risks early diagnosing root causes and recommending prioritized actions with transparent explainable AI we help organizations move from data complexity to decision advantage. Behind that impact is relentless innovation. Inventors at heart we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results grounded in transparency and driven by compassion for the mission and the people it serves. If you’re motivated by impact inspired by technical depth and ready to build AI that performs where it matters most — you’ll find your mission here. Why this role Unlike engineers on many enterprise platform teams you won't be building one generic product rolled out unchanged to every customer. You partner directly with Machine Learning engineers to scale and adapt novel models to the specific often unique problems a customer is facing — then you build the application layer that puts that model in front of real analysts and decision-makers. It's a chance to work close to the ML research and see your code shape how a customer actually solves a hard problem. Responsibilities We are a small fast-moving team where engineers own features end-to-end. We are seeking a fullstack engineer who thrives on building polished responsive interfaces can comfortably navigate backend services APIs and infrastructure. You will regularly partner with DevOps QA Product Design and AI teams - translating technical tradeoffs for non-engineers incorporating design and product feedback and flagging risks early. This is a remote position but may require on-site travel to customer sites. Candidates must possess and active US Government Security Clearance (SECRET or higher) Skills (Must Have) Own features from design handoff through production—scoping building testing deploying and iterating based on real user feedback in close collaboration with Product Design and customers throughout Build and maintain React frontends that handle complex data visualization real-time updates and enterprise-grade UX. (React/Redux Typescript Vite MUI) Work across the stack including Python backend services (Quart/FastAPI) PostgreSQL Redis S3 and async task queues Write code that other engineers can confidently modify and maintain (future looking code) ensuring clear structure and intent - and communicate design decisions clearly to teammates who will build on top of your work Identify problems before they are assigned proposing solutions building prototypes and pushing improvements forward without waiting for an explicit ticket Collaborate effectively across functions — working directly with QA to define test coverage with DevOps on deployment and infrastructure needs and with Product to clarify requirements andmsurface tradeoffs before they become blockers Skills (Nice To Have) Experience with AWS Docker Kubernetes Terraform Experience in Data Science Machine Learning or Data Visualization especially data engineering Experience with build automation tools (i.e. Github Actions Gitlab) Experience with scripting languages (i.e. bash) Startup experience on a growing team and a desire to mentor more junior engineers What We Offer You At Virtualitics you’ll join a high-performance team of scientists strategists and servicemembers building AI that operates in the world’s most demanding environments. The problems we solve matter — and so does the opportunity to grow while solving them. You’ll have meaningful ownership from day one with the ability to accelerate your career alongside a company scaling rapidly in national security and critical infrastructure. We offer highly competitive compensation meaningful equity participation and fully paid medical dental and vision coverage for you and your dependents. Our benefits also include unlimited PTO and flexible work arrangements with remote flexibility and hybrid options for team members based in the Los Angeles or Washington DC areas. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

IT Program Manager

Herndon, VA

By joining the National Student Clearinghouse you can be sure that the work you do now will help shape the future of education and the workforce in the U.S. As the trusted source for higher education data since 1993 the Clearinghouse is the leading provider of transcript and data exchange services automated enrollment and degree verifications learner insights and research and compliance solutions for schools businesses and learners nationwide. As a 501(c)(3) nonprofit organization the Clearinghouse works with nearly 3600 postsecondary institutions to meet their compliance needs and with thousands of high schools and districts to provide continuing collegiate enrollment progression and completion statistics about their alumni. In addition the Research Center publications inform policymakers and business leaders about student educational pathways. Using our unique combination of data analytics and software to drive our mission security and privacy is paramount. Join us as we continue to invest in our talent and new advanced technologies to unlock the power of data on behalf of all learners. About The Role The Technical Specialist IT Program Management position (externally known as IT Program Manager) collaborates and coordinates cross-functional technology initiatives that support the Clearinghouse's ongoing modernization efforts. This role partners closely with engineering architecture security operations product and business teams to ensure work is effectively planned prioritized tracked and delivered. This position is responsible for facilitating delivery processes coordinating dependencies across teams managing risks and milestones maintaining program visibility and supporting adoption of AI-enabled tools and automation capabilities that improve delivery effectiveness and operational efficiency. The role will leverage cloud DevSecOps observability security identity management and Infrastructure as Code (IaC) platforms including AWS GitLab Datadog Wiz Okta Terraform and related technologies. Specifically this position oversees a portfolio of initiatives coordinating schedules resources dependencies communications risks and reporting to ensure successful outcomes and transparency for stakeholders at all levels of the organization. If you are looking to be part of a winning team with a great mission the Clearinghouse is an excellent place to grow your career. Currently this is a remote-first position and this position may be required to periodically work on-site at our office and the frequency would depend on the department/division's requirements. Therefore candidates must either reside within a reasonable distance to commute to our office or be willing to travel to our office in Herndon when required. How You Contribute Demonstrate the Clearinghouse's core competencies Customer Focus Optimizes Work Processes Collaborates Communicates Effectively and Be Open and Authentic. Develop strong knowledge of company products and services and how customers use them. Support a holistic approach to manage the IT Program inclusive of program level deliverables schedules issues risks risk mitigation plan budget expenditures and related mitigation plans. Facilitate and promote effective Agile delivery practices to ensure projects are delivered on time within budget and meet or exceed conditions of satisfaction. Facilitate daily standups backlog reviews planning sessions and other delivery ceremonies. Coordinate work across multiple teams to identify dependencies resolve blockers and maintain delivery momentum. Track action items commitments milestones and delivery deadlines providing proactive communication and escalation as needed. Ensure work items requirements and AI-generated artifacts contain sufficient context acceptance criteria and quality to support planning execution reporting automation and downstream delivery processes. Collaborate across the organization and with application development teams enterprise architecture support teams the Chief Data Office (CDO) and business units to assess the overall health of the program. Ensure a high level of transparency exists in communicating status risk and issues throughout the Clearinghouse. Host and facilitate delivery planning and status meetings effectively communicating expectations and driving team progress toward fulfilling conditions of satisfaction. Provide recurring portfolio-level reporting and executive visibility for key technology initiatives risks milestones and outcomes. Metrics will encompass team productivity quality and value delivered by the projects/program. Responsible for schedule management proactively measuring and monitoring project progress identifying and managing project risks and issues and employing mitigation tactics issue resolution and/or escalation procedures as appropriate. Provide project management/leadership to key IT initiatives as assigned. Demonstrate openness to new perspectives and ideas. Leverage AI-enabled tools and automation capabilities to improve work intake story creation reporting and delivery efficiency. Partner with technical teams to identify opportunities for process automation and reduction of manual operational work. Support adoption of AI and automation solutions that enhance visibility delivery tracking knowledge sharing and team productivity. Position may be required to perform other duties as required. These essential functions are representative of those that must be met by an employee to successfully perform the job. Reasonable accommodations will be made to enable individuals with disabilities to perform these essential functions. What You Bring To The Table Bachelors degree in computer science information technology or any related field. A combination of education and experience including military service will also be considered. A mimimum of 10 years of experience managing programs and projects in a matrixed organization to deliver projects on time and within budget and scope. Experience with + Technology delivery and experience working in a technology organization delivering large scale projects. + Managing internal and external stakeholders supporting technology initiatives.. + Managing multiple initiatives simultaneously prioritizing and monitoring tasks across all projects. + Working in an Agile environment. Proficiency working with Microsoft Office Suite and other collaboration tools. Familiarity with project management and Agile delivery platforms such as GitLab Jira Azure DevOps Microsoft Project Clarity or similar tools. Excellent communication and interpersonal skills. Demonstrated ability to effectively and efficiently influence others to take appropriate action. Positive and professional attitude with the demonstrated ability to adapt to a dynamic fast paced industry and environment. Demonstrates the Clearinghouse’s core competencies customer focus optimizes work processes communicates effectively collaborates and is open and authentic. Must live within a commutable distance to Herndon VA or in one of the Clearinghouse's approved States for hiring purposes. Refer to our HR Policies Page located on our Careers site at https//www.studentclearinghouse.org/careers/human-resource-policies/ for more details. Must be currently authorized to work in the United States on a full-time basis. We do not intend to sponsor external applicants for work visas and may consider sponsorship only if no qualified candidates can be found who are authorized to work without sponsorship. Must be at least 18 years old. Additional Desired Qualifications MBA or advanced degree. PMP and/or CSM certificate. Experience leveraging AI-enabled tools to improve planning reporting delivery management knowledge management or operational efficiency. Physical Demands Use of a computer for 8 or more hours a day. Use of a telephone and/or copy machine. Frequently required to sit for 7 or more hours per day. Occasionally required to use hands and fingers to operate handle and reach. Vision abilities include close vision and the ability to adjust focus. May be required to do front-of-the-room presentations. Able to work extended hours and potentially weekends when required. Travel via car train and airplane when needed. Benefits and Related Information The National Student Clearinghouse provides a robust benefit program designed to help meet the needs of each employee and their family both now and in the future. We offer comprehensive medical dental and vision insurance as well as life and disability insurance benefits for employees and their qualified dependents. Health care dependent care and limited purpose flexible spending accounts as well as a health savings account with annual employer contributions of $300 for employees and $600 for employees who are enrolled with their spouse and/or dependents voluntary supplemental health plans for Accident and Hospital Indemnity coverage and infertility coverage are options available for employees to set aside pre-taxed dollars for certain qualifying expenses. We offer a very generous 401k matching contribution program with the opportunity to defer pre-tax and Roth contributions as well as catch-up contributions for those who are eligible! We are proud to offer a competitive paid leave program consisting of vacation sick and personal time as well as paid holidays up to 3 weeks of paid parental leave during a 12-month period and up to 5 days of paid military leave per calendar year . Vacation time will accrue based on length of service and new full-time hires can accrue up to 13 days of vacation and up to 10 days of sick time per year. On an annual basis new employees may use up to 32 hours of accrued sick time as personal time. Additionally the Clearinghouse observes at least 15 paid holidays per year including company year-end close between Christmas and New Years Holidays. Another perk is that employees have the option to get reimbursed for basic wholesale company and roadside assistance memberships (e.g. Costco and AAA) and to request a buy back on portions of unused accrued vacation based on tenure and certain other qualifications. Employees can further their education and professional development by using our Employee Education Assistance Program which establishes reimbursement for qualified education expenses upon successful completion of the program and leveraging the enterprise-wide LinkedIn Learning subscription. There are additional employee benefits too including but not limited to mental health with up to eight free therapy sessions for employees and their family members and well-being reward benefits. With the Clearinghouse being an eligible 501(3)(c) nonprofit organization employees are eligible for service credit towards the Public Service Loan Forgiveness program (PSLF). To find out more please request a copy of our Benefits at a Glance! Additionally we reasonably believe that the salary range for this position is between $126420 and $164346. The pay range listed above represents a good faith estimate and is not a guarantee of compensation or salary. The National Student Clearinghouse considers multiple factors when determining base pay for offers including but not limited to the responsibilities and scope of the role as well as a candidate’s experience education knowledge skills abilities internal equity and alignment with market data. Internal Candidates If you feel you meet the qualifications for the role we strongly encourage you to apply and focus on preparing for the application process. Finalist internal candidates will receive a compensation review prior to any offer being made. In accordance with the Clearinghouse’s compensation and promotion guidelines internal compensation practices will be applied first which may result in pay that differs from the posted salary range. This job announcement was posted to the National Student Clearinghouse’s Careers site at www.studentclearinghouse.org/careers on 8/28/2026 and the online application period will be open for at least 3 days from this posting date. A completed online application is required to be considered for this opportunity. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The National Student Clearinghouse is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to actual or perceived race creed color religion alienage or national origin ancestry citizenship status age disability or handicap sex marital status veteran status (or known to have a spousal family business social or other relationship or association with a protected veteran) sexual orientation genetic information arrest record natural hairstyle or any other characteristic protected by applicable federal state or local laws. Our management team is dedicated to this policy with respect to recruitment hiring placement promotion transfer training compensation benefits employee activities and general treatment during employment. Pay Transparency Notice The National Student Clearinghouse is a federal contractor that abides by all applicable equal opportunity laws and regulations. Under these laws companies doing business with the federal government must provide applicants and employees with certain policies including the following information. The contractor 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. However 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 contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)