Job Summary

As a CI/CD & AI-Enabled DevOps Engineer, you will help us design, operate, and evolve our developer platform to ensure availability, scalability, security, and developer productivity. You will also play a key role in integrating AI-driven workflows, intelligent automation, and developer agents into our platform.

Responsibilities

- Evaluate, implement, and continuously improve CI/CD tools, AI-assisted development workflows, and platform capabilities.
- Configure and maintain CI/CD tools such as Jenkins, Artifactory, Bitbucket, and their infrastructure on GCP (Linux).
- Design and implement AI-powered developer productivity solutions, including:
- Developer assistants and AI agents for CI/CD, debugging, and operational tasks
- Automation of repetitive workflows using LLM-based tooling

- Work with Model Context Protocol (MCP) or similar frameworks to enable secure, structured interactions between AI systems and internal tools/services.
- Build and maintain internal developer platforms that expose infrastructure and services via APIs and self-service capabilities.
- Troubleshoot and resolve application and infrastructure issues across CI/CD and platform systems.
- Collaborate with development teams to improve developer experience (DevEx), release velocity, and system reliability.
- Partner with security and compliance teams to ensure safe adoption of AI, including data protection, access control, and auditability.
- Develop and maintain documentation for CI/CD processes, platform services, and AI-enabled workflows.
- Monitor, measure, and optimize system performance, cost, and usage patterns.

Qualifications





- Bachelor's degree in a technical field (Information Science, Computer Science, or similar).
- 3+ years of experience in CI/CD, DevOps, or Platform Engineering.
- Strong expertise in Jenkins, Linux, and GCP.
- Experience with Infrastructure as Code (Terraform) and containerization/orchestration (Docker, Kubernetes, GKE, Helm).
- Experience with observability and monitoring tools (Prometheus, Grafana, Elastic Cloud).
- Solid understanding of security best practices (IAM, encryption, secrets management, certificates).
- Strong scripting/programming skills (e.g., Python, Bash).

AI & Modern Platform Capabilities

- Experience or solid interest in AI/LLM integration in developer workflows.
- Familiarity with agent-based systems, automation frameworks, or developer copilots.
- Understanding of Model Context Protocol (MCP) or similar approaches to tool/LLM integration.
- Experience building or integrating APIs, internal developer platforms, or self-service tooling.
- Ability to evaluate and adopt emerging tools in the AI + DevOps ecosystem.

Soft Skills

- Strong problem-solving mindset and ability to work in complex distributed systems.
- Customer-oriented and self-motivated mindset.
- High interest in continuous learning especially in AI, automation, and platform engineering.
- Fluent in English.

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📌 DevOps Engineer (CI/CD & AI-Enabled Platform) (Pune)
🏢 Regnology
📍 Pune