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Full time 🤖 AI / ML

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

Listed by DevShelfHub

Pune Division, IN (Full-time)
Hybrid
Mid-level · 3–7 yrs

About the Role

SaaS regulatory platforms need DevOps engineers who can harden Jenkins on GCP and weave AI agents into CI/CD—not only keep classic pipelines green. Regnology is hiring a DevOps Engineer (CI/CD & AI-Enabled Platform) in Pune Division, India for 3+ years’ CI/CD, DevOps, or Platform Engineering experience.

You will improve CI/CD and platform capabilities, design AI-powered developer assistants and LLM automation (including MCP-style integrations), build internal developer platforms, and partner with security on safe AI adoption—while monitoring performance and cost.

What you'll do

  • 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 (assistants/agents for CI/CD, debugging, ops; LLM automation of repetitive workflows)
  • Work with MCP or similar frameworks for secure, structured AI–tool interactions
  • Build and maintain internal developer platforms exposing infrastructure/services via APIs and self-service
  • Troubleshoot application and infrastructure issues across CI/CD and platform systems
  • Collaborate with development teams to improve DevEx, release velocity, and reliability
  • Partner with security/compliance for safe AI adoption (data protection, access control, auditability)
  • Develop and maintain documentation for CI/CD, platform services, and AI-enabled workflows
  • Monitor, measure, and optimize system performance, cost, and usage patterns

What we're looking for

  • Mandatory
  • Bachelor’s in a technical field (Information Science, Computer Science, or similar)
  • 3+ years in CI/CD, DevOps, or Platform Engineering
  • Strong expertise in Jenkins, Linux, and GCP

Skills & Technologies

Required

Mandatory Bachelor’s in a technical field (Information Science, Computer Science, or similar) 3+ years in CI/CD, DevOps, or Platform Engineering Strong expertise in Jenkins, Linux, and GCP IaC with Terraform; containers/orchestration (Docker, Kubernetes, GKE, Helm) Observability tools (Prometheus, Grafana, Elastic Cloud) Security best practices (IAM, encryption, secrets, certificates) Strong scripting/programming (e.g., Python, Bash)

Benefits & Perks

  • Health Insurance
  • Flexible Leave Policy
  • Learning Budget
  • EPF / NPS

Why This Role is Good for Experienced Professionals

  • This Pune CI/CD platform seat fits Jenkins/GCP engineers who want to add AI-enabled DevEx—agents, MCP integrations, and self-service platforms—on top of solid Terraform/Kubernetes foundations.
  • Pune full-time CI/CD & AI-enabled platform role
  • Clear 3+ years CI/CD/DevOps/Platform bar
  • Own Jenkins, Artifactory, Bitbucket on GCP/Linux
  • Design AI developer assistants and LLM workflow automation
  • Work with Model Context Protocol (MCP) or similar frameworks
  • Build internal developer platforms and self-service APIs
  • Terraform, Docker, Kubernetes, GKE, Helm expected
  • Observability with Prometheus, Grafana, Elastic Cloud
  • Security partnership on AI data protection and auditability
  • International projects, training, buddy program, internal mobility
  • Supportive multi-country team culture and team events
  • Official joindevops / careers apply path

About Regnology

Regnology describes itself as a market-leading SaaS company with an agile character and culture of innovation. The posting highlights international projects, a buddy program, wide-ranging training, internal mobility across functions, a supportive multi-location/country team, transparent communication, and team events. This Pune role focuses on the developer platform that underpins availability, scalability, security, and developer productivity.
Industry
Technology
Company Size
500+
Website
regnology.com
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Job Details

Type
Full time
Level
Mid-level
Experience
3–7 years
Location
Pune Division, IN (Full-time)
Work Mode
Hybrid
Category
AI / ML

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