Lead AWS Cloud DevOps Engineer

EPAM Systems is a global AI transformation engineering and integrated consulting company. The Lead AWS Cloud DevOps Engineer will lead cloud infrastructure design, implementation, optimization, migration strategies, automation, software delivery, and DevOps architecture across AWS environments while mentoring engineers and collaborating with development, platform, and client teams.

Responsibilities:

• Define and drive the CI/CD strategy across multiple applications and teams, championing automation-first practices to maximize delivery efficiency
• Lead complex cloud migration initiatives, ensuring seamless transitions while optimizing cost, performance, and risk at scale
• Architect and oversee AWS cloud environments across multiple customers/projects, ensuring they are secure, scalable, and highly available
• Set and evolve Infrastructure-as-Code (IaC) standards and best practices across teams
• Act as a technical escalation point for development teams on CI/CD pipelines and IaC practices, providing hands-on guidance and troubleshooting
• Define cloud monitoring and observability strategy, driving proactive cost and performance optimization across environments
• Own the end-to-end release strategy, ensuring reliable deployments and continuous delivery across cloud-based applications
• Mentor and grow engineers within the team, conducting technical reviews and supporting their professional development
• Contribute to architectural decision-making and represent the DevOps practice in client/stakeholder discussions

Requirements:

• 7+ years of experience in configuring, maintaining, and troubleshooting AWS-based production systems, including 2+ years in a technical leadership or lead role
• Deep hands-on expertise with AWS services like EC2, S3, Lambda, RDS, ECS, EKS, VPC, CloudFormation and IAM
• Advanced knowledge of AWS networking services: VPC, Route 53, Direct Connect, Load Balancer, API Gateway, Security Groups and more
• Proven experience architecting and operating Kubernetes (EKS) and container orchestration at scale in AWS
• Strong command of monitoring/observability tools (e.g., CloudWatch, Data Dog, Prometheus), including designing alerting and optimization strategies at an organizational level
• Extensive experience with Infrastructure-as-Code tools like Terraform or AWS CloudFormation, including designing reusable modules/standards
• Proven track record implementing and scaling CI/CD practices using tools like GitHub Actions, Jenkins or AWS CodePipeline
• Strong knowledge of cloud security best practices such as IAM, encryption, and secure access control, with experience driving security posture improvements
• Advanced scripting skills (e.g., Python, Bash or Shell) to automate and improve cloud operations at scale
• Solid experience with AWS Cost Management tools and driving org-wide cost optimization strategies
• Demonstrated ability to define technical direction, drive automation initiatives, and lead architectural decisions
• Excellent communication and leadership skills, with experience mentoring engineers and collaborating with cross-functional and client-facing stakeholders
• English proficiency at B2+ level or higher
• Native AI cloud services: AWS Bedrock, Google Vertex AI, Azure AI
• Experience designing, building, and operating AI agents and agentic frameworks
• Coding Agents: Claude Code, OpenCode, Cursor, Trae, Antigravity
• Python/Go knowledge is a plus