DevOps Engineer (RPA)

Company Background

Our client is a leading innovator in contact center automation, delivering a patented RPA platform used by top organizations in financial services, telecom, insurance, and healthcare. Their platform powers over 1 billion automated actions annually, improving efficiency, reducing costs, and enhancing customer experience.

The company is currently evolving its engineering practices with a strong focus on AI-driven development, enabling faster delivery, higher quality, and greater consistency across its SaaS platform.

Project Description

As an AI DevOps Engineer, you will design, build, and evolve the AI-PDLC platform, including the pipelines and intelligent agents responsible for generating, validating, and deploying software. This is a hands-on hybrid role combining software engineering, DevOps, and AI-driven automation, focused on building scalable, secure, and reliable development systems.

Technologies

AWS (including AWS Kiro)

Docker, Kubernetes, Helm

Jenkins, Harness, Ansible, GitOps

Bitbucket, Nexus, Sourcebot

Python, Java, Bash

SonarQube, Veracode, CodeRabbit

RestAssured, Playwright, ReadyAPI

Claude Code, AI agents

Dremio

MCP

What You'll Do

Design and maintain CI/CD pipelines across the full delivery lifecycle (spec → code → test → deploy);

Implement and manage infrastructure as code and GitOps-based deployment strategies;

Develop and manage AI agents that convert EARS specifications into tests, automation, and code validation;

Integrate Claude Code, AWS Kiro, and other AI tools into development workflows;

Improve agent accuracy, performance, and lifecycle management;

Improve performance, reliability, and scalability of pipelines and platform components;

Embed quality and security checks into delivery pipelines and ensure end-to-end traceability;

Automate testing processes, including edge cases and negative scenarios;

Build and maintain containerized environments for development and testing;

Implement monitoring, logging, and tracing to ensure system observability;

Collaborate with engineering teams to support releases and resolve issues;

Contribute to defining AI-PDLC standards and guardrails;

Drive automation and continuous improvement across development and delivery processes;

Job Requirements

5+ years of experience in DevOps, SRE, or platform engineering;

Strong experience with CI/CD pipelines (Jenkins, Harness);

Experience with Docker and Kubernetes;

Experience working with AWS;

Programming or scripting experience (Python, Java, or Bash);

Experience with repository and artifact management tools (e.g., Bitbucket, Nexus);

English proficiency at B1+ level or higher;

Nice To Have:

Experience with AI-assisted development tools;

Familiarity with test automation tools (e.g., Playwright, Rest Assured);

Understanding of specification-driven development approaches;

Familiarity with integration patterns or platforms;

What Do We Offer

The global benefits package includes:

Technical and non-technical training for professional and personal growth;

Internal conferences and meetups to learn from industry experts;

Support and mentorship from an experienced employee to help you professional grow and development;

Health insurance;

English courses;

Sports activities to promote a healthy lifestyle;

Flexible work options, including remote and hybrid opportunities;

Referral program for bringing in new talent;

Work anniversary program and additional vacation days.

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