Jobs Companies Weekday AI Lead DevOps Engineer

Sobre este puesto de Lead DevOps Engineer en Weekday AI

Weekday AI · Presencial · Bengaluru, Karnataka, India

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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At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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