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3 Days ago

Senior DevOps Engineer

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3000000 - 3500000 INR - Yearly
Pune, Maharashtra, India
Information Technology
Full-Time
Lyearn

Overview

Senior DevOps Engineer — Lyearn

Lyearn brings together essential tools for OKR management, performance tracking, employee engagement, and a standout Learning Management System that enables continuous upskilling and growth. Our platform powers organizations that believe learning should be embedded into everyday work — reliable infrastructure is what makes that possible.

As a Senior DevOps Engineer, you’ll design, operate, and evolve the cloud systems that keep Lyearn secure, scalable, and resilient. This role blends platform engineering, automation, SRE practices, and cloud architecture — ideal for engineers who love building reliable systems at scale and influencing how teams ship software.


What you will do

Platform & Infrastructure Ownership

  • Architect and manage multi-cloud environments (AWS & GCP) with a focus on scalability, security, and cost efficiency.
  • Define and evolve our infrastructure roadmap, aligning reliability with product growth needs.
  • Implement Infrastructure as Code using Terraform/CloudFormation for consistent, repeatable environments.
  • Design high-availability topologies, disaster-recovery plans, and automated backup strategies.

CI/CD, Automation & Developer Enablement

  • Build and maintain automated CI/CD pipelines (GitHub Actions, Jenkins) to support frequent, reliable releases.
  • Standardize build, test, and deployment workflows across engineering teams.
  • Create self-service DevOps tooling that accelerates developer productivity.
  • Enforce deployment safety with staged rollouts, canaries, and rollback strategies.

Containers, Orchestration & Observability

  • Deploy and operate containerized workloads using Docker and Kubernetes across environments.
  • Implement strong monitoring, logging, and alerting using Prometheus, Grafana, and centralized logging stacks.
  • Establish SLOs, SLAs, and error-budget practices to drive reliability.
  • Lead incident response, post-mortems, and continuous reliability improvements.

Security, Compliance & Governance

  • Implement cloud security best practices including IAM, secrets management, and network isolation.
  • Harden clusters, pipelines, and runtime environments.
  • Support compliance-ready controls for training, audits, and data privacy.
  • Continuously assess vulnerabilities and automate remediation workflows.

AI Platform & Advanced Capabilities

  • Support infrastructure powering LLM-driven features, vector search, and RAG pipelines.
  • Optimize performance and scalability of AI-related services in production.
  • Collaborate with product and AI teams to safely roll out intelligent capabilities.

Who you are

Technical Expertise

  • 3+ years in DevOps, SRE, or Platform Engineering roles running production systems.
  • Deep experience with AWS and GCP architectures and cost optimization.
  • Strong hands-on expertise with Kubernetes, Docker, and container orchestration.
  • Proven experience building CI/CD pipelines (Jenkins, GitHub Actions).
  • Solid understanding of networking, load balancing, and distributed systems fundamentals.
  • Proficiency with Infrastructure as Code (Terraform/CloudFormation).
  • Experience implementing observability stacks and incident management processes.
  • Familiarity with databases, caching layers, and message queues from an operations standpoint.

Collaboration & Leadership

  • Comfortable partnering with engineering teams to define standards and best practices.
  • Strong communication skills — able to explain trade-offs clearly.
  • Pragmatic problem solver who balances speed with safety and reliability.

Bonus: AI/ML Platform Exposure

  • Experience supporting systems that use LLM APIs or vector databases.
  • Understanding of RAG pipelines and data-retrieval infrastructure.

What makes this role special

You’ll play a central role in building the platform foundation behind an AI-driven learning product used by organizations worldwide. Your work will directly influence reliability, developer velocity, and user trust. You’ll own meaningful systems end-to-end, while shaping best practices and mentoring others.


Work at Lyearn

If building resilient, scalable infrastructure excites you, we’d love to talk.

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