R & D Software Engineer

Broadcom; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Broadcom is seeking a talented Software Engineer with 8+ years of experience to build AI-driven design, implementation, testing and support for security products on API Management & Observability. You will work in an Agile team and contribute to architecture, code reviews, and performance tuning.

The role emphasizes SDLC discipline, multi-agent collaboration, and secure coding practices, with exposure to cloud services and modern containerized deployments. Hyderabad-based onsite role.

Qualifications

• B.tech/BE/M.tech with 8+ years experience.

Responsibilities

• Be responsible for defining, developing, and evolving software in a fast-paced and agile development environment.
• E2E ownership in leading features from incubation to delivery.
• Understand product requirements & vision
• Work with tech leaders and architects to develop implementation plans
• Drive world-class quality in the development and support of products
• Strive to be subject-matter experts of complex systems.
• Apply principles of SDLC and methodologies like Agile, CI, security, scalability and testing techniques
• Understand performance parameters and assess application performance
• Proactively share information across the team with the appropriate level of detail and timeliness
• Work with Junior engineers to mentor, review code and setup best practices/tools/frameworks

Skills

Java

Restful Web services

React

Distributed Systems

Data structures & algorithms

Troubleshooting

Container Technologies

Education

B.Tech/B.E/M.Tech/M.E (Experience : 8+ years)

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

About The Job

We are seeking talented, self-motivated, and experienced Software Engineer with a passion for building high-quality software systems using Agile practices. In this role, you will be a key member of the development team and will focus on AI driven designing, implementing, testing, and supporting leading edge security products on API Management & Observability used by many of the world’s largest companies.

Educational Qualifications

• B.Tech/B.E/M.Tech/M.E (Experience : 8+ years)

What makes you a strong fit

AI Expertise

• You are an expert in using AI Code assist tools (Claude/Cursor etc) as Coworkers and not as prompt engineers.
• Good 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

• Expertise in Java (Core & Enterprise) and related technologies.
• Expertise in Container Technologies (like Helm, Docker, Kubernetes)
• Expertise in any cloud service - AWS, Azure , GCP etc.
• Expertise in Restful Web services.
• Good understanding of React or similar technologies.
• Good understanding of Scalable Distributed Systems.
• Good understanding of data structures and algorithms.
• Strong troubleshooting and problem solving skills.

Desired Skills

• Database : MySQL and Cloud Databases.
• Linux : Debian, RHEL, others.
• Security : Secure coding practices and understanding of OWASP, OAuth etc.
• Protocols : HTTP, HTTPS, FTP, SFTP, GraphQL etc.

Key Responsibilities

• Be responsible for defining, developing, and evolving software in a fast-paced and agile development environment.
• E2E ownership in leading features from incubation to delivery.
• Understand product requirements & vision
• Work with tech leaders and architects to develop implementation plans
• Drive world-class quality in the development and support of products
• Strive to be subject-matter experts of complex systems.
• Apply principles of Software Development Life Cycle and methodologies like Agile, Continuous Integration, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques
• Understand performance parameters and assess application performance
• Proactively share information across the team with the appropriate level of detail and timeliness
• Work with Junior engineers to mentor, review code and setup best practices/tools/frameworks