EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Senior Software Engineer to join our Engineering Effectiveness team.

In this role, you will work on implementing AI-powered developer tools to enhance engineering productivity and workflows. You will collaborate across teams to create innovative solutions for code comprehension, automated documentation, and testing, while contributing to the adoption of cutting-edge technologies and practices.

Responsibilities

Partner with internal product teams to integrate AI-powered tools like GitHub Copilot, Amazon Q, Windsurf, and similar IDEs into engineering workflows
Develop and maintain AI-driven solutions for tasks such as automated code comprehension, documentation generation, and test automation
Collaborate with engineers across teams to identify and address productivity bottlenecks in development workflows
Contribute to backend engineering tasks with occasional full-stack involvement using technologies like Java, Kotlin, Go, TypeScript, React, and Next.js
Enhance shared developer tools, APIs, CLI utilities, and automation pipelines integrated with systems such as Active Directory, ServiceNow, Snowflake, and Kafka
Design and deliver AI-enabled solutions from proof-of-concept to production deployment, serving as the technical liaison for product and platform teams
Collaborate with cloud and infrastructure teams to work on AWS technologies (EKS, Lambda, SQS, SNS), Kubernetes, and CI/CD automation tools like Terraform, CloudFormation, GitHub Actions, and ArgoCD
Promote secure coding practices, automated testing, continuous delivery, and data-driven decision-making to ensure engineering rigor
Contribute ideas and provide feedback to enhance AI tool adoption and engineering practices

Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
At least 3 years of experience in software engineering, with a focus on distributed and cloud-native systems
Proficiency in Java and familiarity with TypeScript
Practical experience with AI-assisted development tools such as GitHub Copilot, Amazon Q, Windsurf, or similar agentic IDEs
Proven expertise in modernizing legacy applications using Generative AI for tasks like refactoring, cloud migrations, or breaking down monoliths
Strong knowledge of AWS cloud services (preferred) or other cloud platforms like GCP or Azure
Experience with Kubernetes, Terraform, and CI/CD pipelines
Familiarity with event-driven architectures and tools like Kafka or SQS
Excellent collaboration skills and the ability to communicate effectively across technical and non-technical teams
Ability to work independently and proactively in a fast-evolving environment driven by AI strategies
Commitment to engineering best practices, including Test-Driven Development (TDD), Behavior-Driven Development (BDD), Domain-Driven Design (DDD), and Clean Architecture principles
Fluent English communication skills, both written and spoken, at a B2 level or higher

Nice to have

Advanced skills in prompt engineering for AI tools
Experience in full-stack development, including knowledge of frontend frameworks like React and Next.js
Familiarity with additional AI tools like Cognition Devin or Claude Code
Exposure to developer enablement platforms and internal tooling such as Backstage or CLI utilities
Experience with observability tools like OpenTelemetry, Datadog, Splunk, or Prometheus
Demonstrated experience in leadership, mentoring, and managing organizational change

We offer