Weekday AI

Lead DevOps Engineer

Weekday AI · Bengaluru, Karnataka, India

Technology, Information and Internet · 11-50 employees

6 h ago
Senior (5-10 yrs) Full-time India
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About the role

The Lead DevOps Engineer will own the cloud, platform, and automation strategy while governing infrastructure standards and security posture. They will also lead the design of resilient systems and mentor engineering teams to drive architectural excellence.

What they look for

Python AWS DevOps Terraform Ansible Jenkins Docker Kubernetes OpenShift Databricks Bash CI/CD Observability SRE FinOps AIOps

Requirements

Candidates must have at least 7 years of experience with deep expertise in AWS, multi-cloud environments, and infrastructure-as-code tools like Terraform. Strong proficiency in scripting, container orchestration, and CI/CD pipeline management is essential for this hands-on leadership role.

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.

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 skillsPython, AWS, DevOps

Good-to-have skillsCI/CD, Dockers, Databrick