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Lead Devops Engineer

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Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-25
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Salary: INR 2,000,000–3,000,000

Workplace: on_site

Department: Weekday's Client via platform

Description

This role is for one of Weekday’s clients
\nSalary range: Rs 2000000 - Rs 3000000 (ie INR 20 - 30 LPA)

Min Experience: 7+ years
\nLocation: Bengaluru
\nJobType: 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

Eligibility / Qualifications:

Education: Bachelor’s degree in IT, Computer Science, Engineering, or equivalent.

Other Details:

Notice Period: Immediate to 15 days

Must-have skills

DevOps, AWS, Terraform

Good-to-have skills

Jenkins, Kubernetes, Openshift

Apply

Apply at Weekday AI

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