Senior DevOps Engineer

Friar Service India Private Limited; Pune District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Friar Service India Private Limited seeks a senior DevOps/ Platform Engineer to own the CI/CD and developer platform architecture, driving reliability and cost optimization. You will evaluate new platform and AI-driven technologies, lead autonomous AI agents for pipelines, and collaborate across engineering and security to raise developer productivity and system resilience.

The role requires 5+ years in DevOps/Platform Eng, strong Linux/GCP skills, and hands‑on experience with Terraform,

Qualifications

• Bachelor's degree in a technical field (Computer Science, Information Systems, or similar)
• 5+ years of experience in DevOps, CI/CD, or Platform Engineering, with ownership of production systems
• Strong expertise in CI/CD systems (Jenkins or similar), Linux, and GCP
• Deep experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes, GKE, Docker, Helm)
• Proven experience designing and operating scalable, reliable distributed systems
• Strong experience with observability stacks (Prometheus, Grafana, Elastic) and performance tuning
• Solid understanding of security best practices (IAM, secrets management, encryption, zero‑trust principles)
• Strong programming/scripting skills (Python, Bash, or similar)
• Hands‑on experience integrating AI/LLMs into engineering workflows
• Experience designing or implementing agent‑based systems or advanced automation solutions
• Understanding of Model Context Protocol (MCP) or similar tool integration patterns
• Experience building or evolving internal developer platforms (IDPs) and improving developer experience at scale
• Ability to evaluate, adopt, and operationalize emerging technologies, balancing innovation with stability
• Proven ability to lead technical initiatives end‑to‑end, from design to production
• Strong mentoring skills and experience guiding other engineers
• Excellent problem‑solving skills in complex, ambiguous environments
• Strong communication and stakeholder management skills
• High ownership, proactive mindset, and passion for continuous improvement

Responsibilities

• Own the design, evolution, and reliability of our CI/CD and developer platform architecture
• Evaluate and introduce new CI/CD, platform engineering, and AI-driven technologies, setting technical direction and standards
• Lead the implementation of AI-powered developer productivity solutions, including internal AI agents for CI/CD pipelines, incident resolution, and operational automation
• Develop intelligent assistants to improve developer workflows and reduce cognitive load
• Define and implement patterns for integrating AI using Model Context Protocol (MCP) or similar frameworks, ensuring secure and scalable interactions between LLMs and internal systems
• Drive the development of a self‑service internal developer platform, enabling teams to deploy, test, and operate services independently
• Provide technical leadership and mentorship to engineers, promoting best practices in DevOps, platform engineering, and AI adoption
• Lead troubleshooting and resolution of complex system and infrastructure issues, acting as an escalation point
• Collaborate cross‑functionally with engineering, security, and product teams to improve developer experience, system reliability, and delivery speed
• Define and enforce observability, reliability, and cost optimization strategies
• Ensure secure adoption of AI technologies, including governance, compliance, and data protection
• Drive documentation, knowledge sharing, and continuous improvement initiatives across the platform

Skills

DevOps

CI/CD

Platform Eng

Python

Terraform

Kubernetes

GCP

Security

Observability

AI/LLMs

Education

Bachelor's degree

Tools

Jenkins

Docker

Helm

Kubernetes

Job description

What you'll do

• Own the design, evolution, and reliability of our CI/CD and developer platform architecture
• Evaluate and introduce new CI/CD, platform engineering, and AI-driven technologies, setting technical direction and standards
• Lead the implementation of AI-powered developer productivity solutions, including internal AI agents for CI/CD pipelines, incident resolution, and operational automation
• Develop intelligent assistants to improve developer workflows and reduce cognitive load
• Define and implement patterns for integrating AI using Model Context Protocol (MCP) or similar frameworks, ensuring secure and scalable interactions between LLMs and internal systems
• Drive the development of a self‑service internal developer platform, enabling teams to deploy, test, and operate services independently
• Provide technical leadership and mentorship to engineers, promoting best practices in DevOps, platform engineering, and AI adoption
• Lead troubleshooting and resolution of complex system and infrastructure issues, acting as an escalation point
• Collaborate cross‑functionally with engineering, security, and product teams to improve developer experience, system reliability, and delivery speed
• Define and enforce observability, reliability, and cost optimization strategies
• Ensure secure adoption of AI technologies, including governance, compliance, and data protection
• Drive documentation, knowledge sharing, and continuous improvement initiatives across the platform

Qualifications

• Bachelor’s degree in a technical field (Computer Science, Information Systems, or similar)
• 5+ years of experience in DevOps, CI/CD, or Platform Engineering, with demonstrated ownership of production systems
• Strong expertise in CI/CD systems (Jenkins or similar), Linux, and GCP
• Deep experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes, GKE, Docker, Helm)
• Proven experience designing and operating scalable, reliable distributed systems
• Strong experience with observability stacks (Prometheus, Grafana, Elastic) and performance tuning
• Solid understanding of security best practices (IAM, secrets management, encryption, zero‑trust principles)
• Strong programming/scripting skills (Python, Bash, or similar)
• Hands‑on experience or strong ownership in integrating AI/LLMs into engineering workflows
• Experience designing or implementing agent‑based systems or advanced automation solutions
• Understanding of Model Context Protocol (MCP) or similar tool integration patterns
• Experience building or evolving internal developer platforms (IDPs) and improving developer experience at scale
• Ability to evaluate, adopt, and operationalize emerging technologies, balancing innovation with stability
• Proven ability to lead technical initiatives end‑to‑end, from design to production
• Strong mentoring skills and experience guiding other engineers
• Excellent problem‑solving skills in complex, ambiguous environments
• Strong communication and stakeholder management skills
• High ownership, proactive mindset, and passion for continuous improvement

Nice to have

• GCP certifications
• Experience with ITIL or service management practices
• Familiarity with policy-as-code, governance frameworks, or compliance in AI systems
• Experience in DevEx or platform engineering organizations at scale
• Exposure to FinOps practices and cost optimization in cloud environments