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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