Senior DevOps Engineer (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Kaunas
Paskelbta: 2026-10-17
💶 4000 - 6700 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: taip
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Job description:
We are seeking a Senior DevOps Engineer to support the development and scaling of our medical image analysis tools, focusing on creating compliant machine learning products. This role offers the opportunity to drive innovation in internal ML tooling while ensuring robust and efficient deployment practices.
Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices.
Design and implement internal ML tools to add features, fix bugs, raise test coverage and enhance documentation
Deploy and maintain complex data pipelines for large image analysis workflows
Evaluate and integrate cloud computing platforms in collaboration with IT and development teams
Define workflows, evaluate tooling and infrastructure and assist users in test scenarios
Ensure compliance for processes and developed tools
Requirements:
3+ years of experience as DevOps or in a similar role
Expertise in building ML systems with frameworks like PyTorch, TensorFlow or JAX
Competency in developing training data processing pipelines for image data
Proficiency in MLOps lifecycles including model training, validation, deployment and quality monitoring
Knowledge of Python for high-performing, modern and well-documented code with strong unit-testing
Familiarity with Linux environments, Git-based workflows, GitHub Actions, containerization tools like Docker and Kubernetes orchestration
Skills in MLOps platforms like W&B, MLFlow and deep learning tools including PyTorch Lightning
Nice to have
Understanding of TypeScript, Node.js or JavaScript
Background in processing platforms such as Argo Workflows or Kubeflow
Expertise in computer vision problems including OpenCV
Familiarity with distributed microservice architectures
Capability to work with cloud infrastructure particularly AWS
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more
We are seeking a Senior DevOps Engineer to support the development and scaling of our medical image analysis tools, focusing on creating compliant machine learning products. This role offers the opportunity to drive innovation in internal ML tooling while ensuring robust and efficient deployment practices.
Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices.
Design and implement internal ML tools to add features, fix bugs, raise test coverage and enhance documentation
Deploy and maintain complex data pipelines for large image analysis workflows
Evaluate and integrate cloud computing platforms in collaboration with IT and development teams
Define workflows, evaluate tooling and infrastructure and assist users in test scenarios
Ensure compliance for processes and developed tools
Requirements:
3+ years of experience as DevOps or in a similar role
Expertise in building ML systems with frameworks like PyTorch, TensorFlow or JAX
Competency in developing training data processing pipelines for image data
Proficiency in MLOps lifecycles including model training, validation, deployment and quality monitoring
Knowledge of Python for high-performing, modern and well-documented code with strong unit-testing
Familiarity with Linux environments, Git-based workflows, GitHub Actions, containerization tools like Docker and Kubernetes orchestration
Skills in MLOps platforms like W&B, MLFlow and deep learning tools including PyTorch Lightning
Nice to have
Understanding of TypeScript, Node.js or JavaScript
Background in processing platforms such as Argo Workflows or Kubeflow
Expertise in computer vision problems including OpenCV
Familiarity with distributed microservice architectures
Capability to work with cloud infrastructure particularly AWS
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more