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.