Senior Software Engineer - AI Augumented Development

About the role

Hamsa is building the operating system for global finance. Through our AI-enabled Unified Ledger, we connect the world's largest financial institutions while solving critical challenges in interoperability, privacy, and speed. With $400B on platform in 2025 and $1T projected for 2026, we're scaling rapidly and reshaping how the world's financial system operates. Backed by top-tier investors, our global team operates across the US, APAC, EU, and LATAM.

We are seeking a highly experienced Senior Software Engineer with approximately 10+ years of hands-on software development experience building production-grade systems. The ideal candidate has spent the last ~2 years deeply engaged in AI-augmented development (“vibe coding”), using LLM-based coding tools, agent-driven workflows, and MCP-style multi-agent systems and possesses hands-on Java programming skills and advanced knowledge of Spring. 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.

Responsibilities

• 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
• 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
• 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
• 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

Requirements

• 7+ 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

Skills

• 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