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.