# Lead DevOps Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-07

**Workplace:** on_site

**Department:** Weekday's Client via platform

## 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

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/1C028788A3/apply)

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