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EPAM Systems

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EPAM Systems is a global leader in digital engineering, cloud, and AI transformation services, driving innovation for enterprises and startups since 1993.

Newtown, PA

IT Services and IT Consulting
5,001+ people

About

EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners and employees. We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world. Learn more at www.epam.com and follow us on LinkedIn.

Open positions

Lead Azure DevOps Engineer- Azure Networking

Remote · Canada

Lead the design, implementation, and optimization of secure, scalable, and compliant Azure infrastructure, with a focus on networking and Terraform-based infrastructure as code. Collaborate with stakeholders and cross-functional teams, ensure security and compliance standards, and support documentation and knowledge sharing.

Lead Software Engineer, Applied AI (Frontend Leading)

On-site

Design and build end-to-end GenAI applications, focusing on intuitive, accessible, performant web interfaces and client-side API integrations. Develop reusable frontend components and design systems, integrate LLM experiences, and collaborate with product and design teams while ensuring security, observability, and test coverage.

DevOps Enablement Engineer & AI Adoption Specialist

On-site

The role focuses on bridging cloud platforms with the developer community by creating onboarding journeys, technical documentation, and video tutorials. It also involves championing the adoption of AI-powered workflows like GitHub Copilot and hosting training sessions for engineers.