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Lead Devops Engineer

Weekday AI · Bengaluru

Posted 8/25/2026 · last confirmed live 8/27/2026

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

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This role is published by Weekday AI on workable. SwiftFit is not the employer and does not accept applications.