Lead DevOps Engineer

Bengaluru, IndiaFull-timePosted Aug 7, 2026

This role is for one of the Weekday's clients

Min Experience: 7+ years

Location: Bengaluru
JobType: full-time

We are looking for a Lead DevOps Engineer to own our cloud, automation, and reliability strategy. The ideal candidate brings expert scripting, deep multi-cloud experience (AWS primary; Azure/GCP), infrastructure-as-code mastery, container-platform ownership, mature observability and security posture, and a solid understanding of modern data technologies. This is a hands-on leadership role: setting standards, driving architecture, and mentoring the team.

This role requires strong architectural judgement, the ability to lead automation and platform initiatives end-to-end, and the capability to raise engineering standards across application, infrastructure, and data layers.

Requirements

Key Responsibilities:

  • Own DevOps, platform, and cloud strategy and architecture
  • Lead the design of scalable, resilient, and secure systems
  • Set and govern standards for IaC, CI/CD, observability, and security
  • Architect and govern Jenkins CI/CD across multiple teams
  • Drive container-platform strategy across Docker, Kubernetes, and OpenShift
  • Own AWS security posture and compliance
  • Guide data-platform infrastructure — Lakehouse / Warehouse / Databricks and BI (QuickSight / Power BI)
  • Champion AIOps and observability maturity
  • Lead FinOps governance and cost strategy
  • Mentor and grow senior and junior engineers

Required Skills:

  • Strong scripting in Python and/or Bash
  • Deep, architecture-level, hands-on AWS (or Azure); multi-cloud fluency
  • IaC mastery with Terraform and/or Ansible
  • Expertise designing and governing Jenkins CI/CD pipelines; Git
  • Production ownership of Docker, Kubernetes, and OpenShift
  • Mature, hands-on experience with observability frameworks and SRE practices
  • Strong ownership of security posture practices on AWS
  • Good understanding of Lakehouse, Data Warehouse, Databricks, QuickSight, and Power BI
  • Advanced routing, Transit Gateways, Site-to-Site VPN, Client VPN
  • Proven leadership, mentoring, and cross-team collaboration
     


Preferred Skills:

  • AIOps at scale
  • Deep multi-cloud experience across Azure and GCP
  • FinOps at organizational scale
  • AWS Professional / Specialty certifications

Must-have skills

Python, AWS, DevOps

Good-to-have skills

CI/CD, Dockers, Databrick

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