R & D Software Engineer

VMware; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

VMware is seeking an experienced Software Engineer to build high-quality security products for API Management Observability. The role emphasizes AI-driven design, implementation, testing, and support within an Agile team.

You will contribute to architecture, performance, and secure software across multiple teams and repos. Ideal candidates have 14+ years of experience, strong Java/Go skills, container and cloud expertise, RESTful services, React familiarity, and a robust understanding of

Qualifications

• Educational degree as stated: B.Tech/B.E/M.Tech/M.E with 14+ years experience.
• Expertise in Java and Go and related technologies.
• Strong knowledge of container ecosystems and cloud services.
• Experience with RESTful web services and modern frontend tech.
• Solid understanding of data structures, algorithms and scalable systems.
• Proven problem solving and troubleshooting skills.
• Security awareness and secure coding practices.

Responsibilities

• Be responsible for defining, developing, and evolving software in a fast-paced and agile development environment.
• End-to-end ownership of leading features from incubation to delivery.
• Understand product requirements and craft implementation plans with tech leaders.
• Drive quality in development and product support, ensuring architecture alignment.
• Mentor junior engineers and establish best practices, tooling, and frameworks.

Skills

Java

Go

Docker

Kubernetes

Helm

AWS

Azure

GCP

RESTful APIs

React

Distributed systems

Data structures

Algorithms

Troubleshooting

CI/CD

Security

HTTP

GraphQL

Education

B.Tech/B.E/M.Tech/M.E (Experience: 14+ years)

Tools

Helm

Docker

Kubernetes

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 : 14+ 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 GO 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