Lead DevOps Engineer

Location: Bengaluru, Karnataka, India

Department: Weekday's Client via platform

Workplace: on_site

Employment Type: full

Description

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