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Sr DevOps Engineer

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Onsite

Sr DevOps Engineer

Regnology

Sr DevOps Engineer

Skills

Google Cloud PlatformDockerPythonJenkinsGrafanaAIPrometheusLinuxKubernetesGDPRITILComplianceTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


Job Summary

As a Senior CI/CD & AI-Enabled DevOps Engineer, you will take ownership of our developer platform and CI/CD ecosystem, driving its evolution toward a highly automated, AI-augmented engineering environment. You will act as a technical leader, shaping architecture, best practices, and the adoption of modern technologies.

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.
  • Internal AI agents for CI/CD pipelines, incident resolution, and operational automation.
  • 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.

Requirements

  • 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).

AI & Platform Leadership

  • 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.

Leadership & Mindset

  • 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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