Lead DevOps Engineer

EPAM Systems

Ukraine · Full-time · Mid-Senior

We are seeking a highly skilled Lead DevOps Engineer to join our innovative team and play a key role in building and supporting cutting-edge cloud infrastructure.

This role involves leveraging expertise in AWS, Azure, Kubernetes, and CI/CD pipelines to create scalable, reliable platforms that support AI/ML initiatives for groundbreaking drug discovery solutions. You will collaborate with a diverse group of technical experts to bridge the gap between data science and engineering, driving advancements in healthcare technology.

Responsibilities

Design and deploy large-scale, secure production infrastructure in AWS to support AI/ML workflows
Collaborate with data science teams to create advanced data science environments, enabling scalable model development
Manage containerized workloads, including the deployment and optimization of Kubernetes clusters for performance and cost-effectiveness
Build and maintain robust CI/CD pipelines to streamline the integration and deployment of ML models and data workflows
Develop automation scripts using tools such as PowerShell and Bash to optimize system management and reduce manual processes
Collaborate with cross-functional teams to transform ML pipelines into reliable production systems
Monitor and troubleshoot cloud-based systems, ensuring high availability and scalability
Document infrastructure design, configuration, and operational workflows to foster collaboration and knowledge sharing
Lead ongoing efforts to enhance deployment, monitoring, and operational best practices
Implement comprehensive monitoring and alerting solutions to address system health and reliability
Mentor other team members, sharing best practices in cloud infrastructure and DevOps techniques

Requirements

Proven experience of 5+ years in managing infrastructure and deploying applications in cloud environments like AWS and Azure
Expertise in container orchestration tools like Kubernetes and Docker, including the ability to manage and optimize clusters
Proficiency in designing and optimizing CI/CD pipelines using Azure DevOps, Jenkins, or similar tools
Skills in scripting languages such as PowerShell, Bash, or Python with a focus on automation and deployment
Understanding of monitoring and logging systems such as Prometheus, Grafana, Datadog, or CloudWatch
Background in managing secure, scalable production systems for machine learning or data science applications
Familiarity with version control and collaboration tools such as Git and GitHub
Insights into performance tuning, cost optimization, and troubleshooting in cloud environments
Flexibility to use modern DevOps tools and practices to address evolving technical challenges

Nice to have

Knowledge of infrastructure as code frameworks like Terraform or CloudFormation
Experience with advanced monitoring solutions or APM tools such as New Relic or Dynatrace
Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or SciKit-Learn
Understanding of healthcare-focused regulatory compliance in cloud environments
Skills in data processing tools like Apache Airflow or similar platforms

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Key Skills

Ranked by relevance

cloud devops kubernetes cicd aws powershell bash infrastructure as code high availability machine learning prometheus tensorflow terraform jenkins grafana datadog pytorch python docker apache git

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