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
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