DevOps Engineer (CI/CD & AI-Enabled Platform)

Friar Service India Private Limited; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Global leader

Internal mobility

Training programs

Diversity-friendly environment

Job summary

Friar Service India Private Limited is seeking a CI/CD & AI‑Enabled DevOps Engineer to design, operate, and evolve our developer platform for availability, scalability, security, and developer productivity. You will integrate AI‑driven workflows and developer agents into our platform.

You will collaborate across teams to improve DevEx, release velocity, and system reliability while ensuring data protection and access control in AI‑enabled workflows.

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).
• Experience or strong 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.

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.
• Automate repetitive workflows using LLM‑based tooling.
• Work with 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.

Skills

CI/CD

Jenkins

Linux

GCP

Terraform

Docker

Kubernetes

GKE

Helm

Prometheus

Grafana

Elastic Cloud

Security best practices

Python

Bash

AI/LLM integration

MCP

APIs / self-service tooling

DevEx improvement

Fluent English

Education

Bachelor’s degree in Computer Science or similar

Tools

Jenkins

Artifactory

Bitbucket

Terraform

Docker

Kubernetes

GKE

Helm

Prometheus

Grafana

Elastic Cloud

GCP

Job description

What you'll do

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.

Key Accountabilities

• 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
• Automate 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)
• Experience or strong 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
• 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

Benefits

• Join a global leader with an agile culture and innovative spirit
• Take ownership of high‑profile international projects and benefit from internal mobility initiatives
• Access a range of technical and functional training opportunities
• Work in a supportive, transparent environment committed to diversity

Regnology is committed to equal employment opportunities regardless of gender, age, nationality, ethnic or social origin, disability, or identity.