Software Engineer, Program Engineering

Block’s Compliance Program Engineering team builds and operates platforms that support Block’s compliance program and the product teams that depend on it. The role designs and maintains transaction and entity-labeling systems, improves data quality and usability, and builds tools and pipelines for compliance workflows.

Responsibilities:

• Partner closely with your team to design, develop, test, ship, and maintain features across our transaction and labeling platforms
• Write high-quality, well-tested code, and participate actively in design reviews and code reviews
• Design and implement systems that work within our microservice and event-driven architectures and handle sensitive customer and financial data with care and correctness
• Improve the coverage, quality, and usability of transaction data so investigators, analysts, and automated systems can trust and act on it
• Build self-serve tools and high-volume ingestion pipelines that let teams across Block onboard new products and label entities without waiting on us
• Partner directly with Compliance, Risk, and product teams to turn regulatory and business requirements into durable, reusable platform capabilities
• Participate in operational ownership of engineering systems, including on-call, incident response, and postmortems
• Demonstrate AI fluency by using AI-powered tools throughout the development lifecycle to improve velocity and quality, while applying sound judgment in their use
• Hold your teammates, and yourself, to high engineering standards
• Learn from and support other engineers through code reviews and technical discussion

Requirements:

• 3+ years of software development or equivalent experience
• Experience building and maintaining production software systems, and delivering well-scoped projects or features end-to-end (design, build, test, ship, operate) with guidance from more experienced engineers
• Worked across the stack, on backend services and on the interfaces people use to operate them
• Drive to find flaws in a system with many moving parts and take whatever steps are necessary to fix them
• Curiosity about problems that arrive only partly specified, and a habit of asking the questions that make them concrete
• A track record of explaining technical tradeoffs in writing and in person, to engineers and non-engineers alike
• Demonstrated AI fluency, including experience using AI-powered developer tools and the ability to critically evaluate and responsibly apply their outputs
• Bachelor's Degree or Diploma in Computer Science, Computer Engineering, Software Engineering, or equivalent experience
• Experience building platforms or self-serve tools that other engineering teams build on
• Experience with search systems, data modeling, or bulk data ingestion at scale
• Experience working with sensitive data (PII, PCI) or building to privacy, security, or regulatory requirements
• Experience integrating LLMs or agents into production workflows
• Interest in compliance or financial technology is a plus