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DevOps Engineer (RPA)

Work from home Full-time role Hiring

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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