Senior AWS DevOps Engineer: Automation & AI Pipelines Remote

EPAM Systems, Inc.; Warszawa; Hybrid; PLN 180,000 - 250,000; Full time

Benefits offered by this job

Hybrid work model (Poland)

Remote work option within Poland

Career development programs

Stock Purchase Plan

Job summary

EPAM Systems, Inc. seeks a Senior AWS DevOps Engineer in Warsaw to drive automation, monitoring, and QA across cloud-based pipelines and workflows.

You will automate test scenarios, build checkpoints across multiple stages, and develop automated monitoring for complex distributed systems. The role requires 5+ years in AWS, Python backend, and hands-on Jenkins/SonarQube experience, with a focus on logging and observability for AI agents and workflows.

Qualifications

• 5+ years of experience with AWS cloud environments.
• Proficiency in Python backend development.
• Hands-on experience with DevOps tools such as Jenkins and SonarQube.
• Background in building test automation frameworks for similar use cases.
• Understanding of logging and observability practices for AI agents and distributed workflows.

Responsibilities

• Automate test scenarios and use cases across pipeline gateways.
• Build checkpoints across different stages of the project, including Data, Agent, and Orchestrator.
• Develop automated monitoring checkpoints for workflow interaction points.
• Integrate monitoring checkpoints with monitoring dashboards.
• Design and maintain automation frameworks to support project use cases.
• Support logging and observability efforts for AI agents and distributed workflows.

Skills

AWS

Python

DevOps

Test automation

Monitoring

English (B2)

Tools

Jenkins

SonarQube

JavaScript

Job description

EPAM Systems, Inc. seeks a Senior AWS DevOps Engineer in Warsaw to drive automation, monitoring, and QA across cloud-based pipelines and workflows.

You will automate test scenarios, build checkpoints across multiple stages, and develop automated monitoring for complex distributed systems. The role requires 5+ years in AWS, Python backend, and hands-on Jenkins/SonarQube experience, with a focus on logging and observability for AI agents and workflows.