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.