Senior DevOps Engineer — AI-Native Automation Platforms

EPAM Systems; United States; Remote; USD 140,000 - 170,000; Full time

Job summary

EPAM Systems Inc. is seeking a Senior DevOps Engineer to design, build, and operate AI-first CI/CD pipelines for RPA/BPM platforms across Automation Anywhere, UiPath, and Blue Prism.

You will lead AI-enabled change reviews, automate workflows, and implement observability, governance, and security controls. The role requires strong Linux/Windows administration, scripting, and hands-on experience with Terraform, Ansible, Docker, and Kubernetes in multicloud settings.

Qualifications

• 5+ years of DevOps with CI/CD and scripting in Bash/PowerShell/Python.
• Experience with configuration management and HA monitoring/alerting.
• Background with RPA/BPM platforms including Automation Anywhere, UiPath, Blue Prism.
• Hands-on CI/CD tooling such as GitLab CI, Jenkins or Azure DevOps, and Git.

Responsibilities

• Design and optimize CI/CD pipelines using AI assistants for authoring and troubleshooting.
• Integrate AI-based code review and quality gates into the development flow.
• Automate pipelines via Jira and prototype agentic workflows that turn tickets into changes.
• Build dashboards with AI adoption and impact metrics (cycle-time, MR ratio).
• Stand up AIOps monitoring, alerting, and log aggregation systems.
• Establish prompts, prompt libraries, MCP integrations, and guardrails.
• Mentor engineers and champion AI-native ways of working.

Skills

CI/CD design

IaC

AI-assisted tooling

RPA/BPM platforms

Bash/PowerShell/Python

Linux/Windows admin

Multicloud (Azure/AWS/GCP)

Agile/SAFe

Tools

GitLab CI

Jenkins

Azure DevOps

Terraform

Ansible

Helm

Docker

Kubernetes

Job description

We are seeking a Senior DevOps Engineer to design, build, and operate RPA/BPM platforms, AI-first, leveraging Claude and CodeMie to author infrastructure code, review changes, triage incidents, and generate documentation. This role will lead CI/CD efforts across Automation Anywhere, UiPath, and Blue Prism under Scrum/SAFe methodologies.

Responsibilities

• Design and optimize CI/CD pipelines using AI assistants for authoring and troubleshooting
• Integrate AI-based code review and quality gates into the development flow
• Automate pipelines via Jira and prototype agentic workflows that turn tickets into changes
• Build dashboards with AI adoption and impact metrics, such as cycle-time and MR ratio
• Stand up AIOps monitoring, alerting, and log aggregation systems
• Establish prompts, prompt libraries, MCP integrations, and guardrails
• Mentor engineers and champion AI-native ways of working
• Define autonomy boundaries, manage secrets and PII, and validate AI output before production
• Correlate alerts, summarize incidents, draft post-mortems, and surface root causes
• Generate and validate Terraform, Ansible, and Helm code with human-in-the-loop review

Requirements

• 5+ years of experience in DevOps engineering with CI/CD design, scripting in Bash, PowerShell, Python, and IaC discipline
• Experience with configuration management and HA monitoring/alerting
• Expertise in Linux and Windows operating systems, with knowledge of MS SQL and PostgreSQL databases
• Senior-level experience with at least one cloud platform among Azure, AWS, or GCP in multicloud environments
• Background in RPA/BPM platforms, including Automation Anywhere, UiPath, Blue Prism, and Intelligent Automation
• Hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or Azure DevOps, along with Git
• Familiarity with observability practices, including metrics, logging, alerting, and log aggregation
• Proficiency in AI assistants and agentic tooling, including Claude, CodeMie, MCP servers, and tool integrations
• Skills in IaC and containerization tools, including Terraform, Ansible, Helm, Docker, and Kubernetes
• Competency in prompt engineering and context management for coding and operations
• Expertise in agentic workflow design, including task decomposition, tool use, and human-in-the-loop validation
• Understanding of AI governance principles, including guardrails, secrets handling, and autonomy boundaries
• English proficiency at B2 level or higher
• Nice to have
• Experience with Agile/Scrum methodologies, with SAFe considered a plus
• Proactive, fast-learning mindset with trust-vs-verify judgment in AI assistant/agent use