[Hiring] Senior Software Engineer @Hamsa

Role Description

We are seeking a highly experienced Senior Software Engineer with approximately 10+ years of hands-on software development experience building production-grade systems. This is a deeply hands-on individual contributor role focused on shipping high-quality software at scale using both traditional engineering expertise and modern AI-native development practices.

Key Responsibilities

• Hands-on Software Development
  • Design, implement, and maintain high-quality production code across backend and distributed systems.
  • Own complex feature development end-to-end, from implementation through production deployment.
  • Debug, troubleshoot, and resolve issues in large-scale production environments.
• AI-Augmented Development (Vibe Coding / MCP Systems)
  • Use AI to deliver robust, maintainable, and fully tested software.
  • Use LLM-based tools and agent workflows daily to accelerate coding, refactoring, and debugging.
  • Work with MCP-style agent systems to:
    • Generate and iterate on production code.
    • Automate test creation and validation.
    • Support debugging and root-cause analysis.
    • Improve code review cycles and refactoring speed.
  • Continuously evolve personal development workflows using AI-native tooling.
• Code Quality & Engineering Excellence
  • Deliver robust, maintainable, and fully tested software.
  • Improve testing practices, CI/CD workflows, and developer efficiency.
  • Identify and fix performance, reliability, and scalability issues in existing systems.
• Technical Collaboration
  • Collaborate closely with engineers and product teams to deliver features iteratively.
  • Participate in code reviews and provide strong technical feedback.
  • Act as a high-seniority IC contributor embedded within engineering teams.

Qualifications

• 10+ years of hands-on software engineering experience.
• Deep experience building and maintaining production systems at scale.
• Recent (2+ years) hands-on use of:
  • AI coding assistants (LLM-based IDE tools, copilots, agent frameworks).
  • Multi-step agent workflows (MCP-style or equivalent systems).
  • Prompt-driven development, debugging, and refactoring workflows.
• Strong track record of shipping complex systems in fast-moving environments.

Requirements

• Expert-level coding ability in Java, Spring.
• Strong experience with backend systems, APIs, and distributed systems.
• Strong experience in system design.
• Experience with AWS cloud services (production-grade environments).
• Strong experience with PostgreSQL (data modeling, performance tuning, querying).
• Strong understanding of cybersecurity standards and best practices (e.g., secure coding, OWASP principles, authentication/authorization, data protection in distributed systems).
• CI/CD pipelines, automated testing, and production debugging.
• Comfortable operating in AI-augmented development environments on a daily basis.

Nice to Have

• Experience with financial systems, fintech platforms, trading systems, payments, or other regulated financial environments.
• Experience with developer productivity tools or internal engineering platforms.
• Exposure to high-scale SaaS or distributed enterprise systems.
• Experience training and experimenting with autonomous coding agents or AI workflows.
• Contributions to automation, tooling, or engineering efficiency improvements.

Mindset & Traits

• Strong individual contributor who excels at execution and delivery.
• Deep technical curiosity and strong coding craftsmanship.
• Comfortable working in rapidly evolving AI-driven development environments.
• Strong bias toward shipping working software quickly and iteratively.
• Uses AI tools as a core part of daily engineering practice, not as an add-on.