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Job Description:

About the job
We are seeking a talented, self-motivated, and experienced Systems Engineer to own the build, release, and infrastructure automation backbone for leading edge security products on API Management & Observability used by many of the world's largest companies. In this role, you will be a key member of the engineering team, focused on CI/CD pipeline engineering, workplace provisioning, third-party system integration, and production-grade debugging across the SDLC.

Educational Qualifications:

B.Tech/B.E/M.Tech/M.E (Experience: 15 years)

What makes you a robust fit:

AI Expertise:
You are an expert in using AI Code assist tools (Claude/Cursor etc) as Coworkers and not as prompt engineers.
Positive understanding of AI Spec driven development methodologies like Plan/BMAD mode etc and use it thoroughly,



to map out and implement all phases of SDLC.
Understand Context Engineering & Token Optimization techniques and create/maintain reusable skills, contexts across multiple teams and repos.
Understand Agent Orchestration, manage multi-agent workflows to handle complex, multi-step engineering tasks like new capabilities, codebase refactoring, upgrades, and vulnerability patching.
Code Review & Quality Control: Critically review AI-generated code for architectural alignment, design, and performance bottlenecks.

Required Skills:
Hands-on Linux and Windows administration.
Proficiency in infrastructure-as-code and configuration/scripting tools: Packer, Ansible, Terraform.
Cloud knowledge with hands-on exposure to GCP and GKE (Kubernetes on GCP).
Experience with security/code-quality scanning tools such as BlackDuck and Coverity, and remediating findings.
Exposure to container technologies (Docker, Helm, Kub

📌 R & D Software Engineer Hyderabad
🏢 Broadcom
📍 Hyderabad