[Hamsa](http://www.hamsa.com) 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 Software Engineer with approximately 5+ 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 to accelerate software delivery and engineering productivity. 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 ## Required Experience - 5+ 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 ## Technical Skills - Expert-level coding ability in Java as well as Python, Go or TypeScript - Strong experience with backend systems, APIs, and distributed systems - 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 daily ## 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 Hamsa is an equal opportunity employer committed to building a fair, inclusive workplace where diverse perspectives strengthen our mission. Hamsa welcomes applications from all qualified candidates and does not discriminate based on race, color, religion, sex, national origin, age, disability, or any other protected characteristic.