Senior Engineer - SRE & Infrastructure Services

EPAM Systems is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Minimum 7 years of professional experience in software development, DevOps, and/or Site Reliability Engineering
• Minimum 3 years of experience building and maintaining CI/CD pipelines and SRE automation within cloud environments at scale
• Experience with monitoring and alerting platforms such as Prometheus and Grafana
• Hands-on experience deploying and managing cloud infrastructure
• Experience with Amazon Web Services including EC2, Elasticsearch, Lambda, and CloudFormation
• Working experience with at least one additional cloud provider like GCP or Azure
• Experience with CI/CD toolchains including Jenkins, Kubernetes, and Flux
• Proficiency in one or more programming languages: Python, Go, Java, or C
• Minimum English language level of B1+

Nice to have:

• Experience applying Generative AI or ML-based tooling within an operations context
• Experience with DevSecOps practices and security automation
• Background in architecting monitoring and management systems for enterprise SaaS products

• Design and implement CI/CD pipelines leveraging Kubernetes, Flux, and related cloud-native technologies
• Implement and maintain monitoring and management solutions for cloud-based products using a combination of commercial off-the-shelf (COTS) and in-house tooling
• Collaborate with architects and development teams on standardized, scalable approaches for log management, service components, and infrastructure elements
• Evaluate and integrate AI-enabled tooling across observability, pipeline efficiency, and SRE troubleshooting workflows
• Develop DevOps tooling that reduces manual toil, strengthens security posture, and minimizes human error
• Build and maintain resilient, self-scaling systems that minimize customer impact while supporting a sustainable operational environment
• Participate in incident response, root cause analysis, and post-incident review processes

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