Staff Devops Engineer

Team: Engineering - General

Location: Bengaluru

Commitment: Full-time

Workplace Type: hybrid

Who we want:

Are you ready to combine your talent for crafting solid data systems and enthusiasm for cutting-edge technology to harness the power of data at Bazaarvoice? We’re looking for a strong database engineer who thrives on building large-scale, robust, distributed data systems and pipelines, who understands the importance of good software engineering practices to get it done. If you’re excited about shaping the future of data at Bazaarvoice, come join us.

How you will make an impact:

We’re looking for a Staff DevOps Engineer to join our team. You are a technical leader who excels at both deep infrastructure expertise and platform thinking. You are passionate about reducing developer friction, enabling self-service capabilities, and building reliable, scalable “paved road” solutions that allow engineering teams to ship software faster and more safely. You will drive the evolution of our DevOps capabilities, mentor senior engineers, influence technical strategy, and collaborate closely with engineering leadership and cross-functional teams. This is a high-impact role focused on ownership of critical infrastructure components, CI/CD excellence, and cloud-native solutions.

What You’ll Do

• Design and evolve self-service tools, service templates, scaffolding, and paved-road patterns that embody best practices for engineering teams.

• Infrastructure as Code: Design, implement, and maintain scalable, secure cloud infrastructure using Terraform (or CloudFormation) at enterprise scale.

• CI/CD Mastery: Lead the design and optimization of robust, automated deployment pipelines supporting our “Single Tool Chain” initiative, incorporating GitOps practices.

• Kubernetes & Container Orchestration: Architect, manage, and scale our EKS environments, including advanced networking, ingress, resource optimization, observability, and reliability engineering.

• Build and enhance developer tooling, platform APIs, and abstractions that significantly improve developer experience and productivity.

• Reliability & Automation: Drive improvements in observability, incident response, chaos engineering, and platform resilience. Write production-grade automation in Python, Go, or Java.

• Technical Leadership: Provide mentorship to Senior and mid-level DevOps/SRE engineers, drive engineering standards, conduct design reviews, and champion DevOps best practices across multiple teams.

• Cross-functional Collaboration: Act as a bridge between Development, SRE, Security, and Operations teams while partnering with engineering leadership on roadmap and technical direction.

Required Expertise

• Experience: Btech with 10–15+ years of hands-on experience in DevOps, SRE, or Platform Engineering roles with a strong focus on large-scale distributed systems and cloud infrastructure.

• Coding Proficiency: Strong software engineering skills. You treat infrastructure and tooling as code. Proficiency in Java (for backend services) or Python/Go for tooling and automation is required. Ability to deliver maintainable, tested, production-grade code.

• Cloud Expertise: Deep, expert-level experience with AWS (EKS, ECS, S3, Lambda, RDS, ECR, DynamoDB, networking primitives, IAM, etc.).

• Container & Orchestration: Expert knowledge of Docker and Kubernetes (EKS), including advanced topics such as operators, service meshes, ingress controllers, and resource governance.

• Platform Tooling: Hands-on experience with developer portals (e.g., Backstage) and GitOps workflows.

• IaC & Tooling: Advanced Terraform (or CloudFormation), Artifactory/Nexus experience, and strong Linux fundamentals.

• Software Engineering Fundamentals: Deep understanding of SDLC, clean architecture, design patterns, unit/integration testing, observability, and secure-by-default practices.

• Strong familiarity with AI-powered development tools and best practices for using the right model for the right task, including Claude, GitHub Copilot / Copilot CLI, and OpenCode (or similar LLMs) to accelerate infrastructure-as-code generation, automation scripting, code reviews, and platform development.