Software Engineer, Finance Applications

Block is a company focused on economic empowerment through technology. They are seeking a Software Engineer to design and build backend services and integrations for their foundational financial operations, emphasizing scalable and reliable financial infrastructure with a strong focus on AI enablement.

Responsibilities:

• Build financial operations and reporting infrastructure — Design and implement backend services for Accounting, FP&A, Tax, Procurement while keeping the company compliant
• Lead a platform migration — Architect the migration of business-critical workflows from legacy vendor platforms to Block's internal systems, ensuring zero disruption to agents and customers during cutover
• Design workflow and automation systems — Build configurable workflow engines, rules-based routing, and event-driven automations that reduce manual effort and scale across multiple business lines
• Own integrations end-to-end — Design, build, and maintain integrations between internal platforms and external systems (middleware, workforce management, Oracle fusion, Salesforce etc) using APIs, event streams, and messaging patterns
• Partner across the business — Work directly with operations, compliance, and product stakeholders to translate complex financial and regulatory requirements into well-architected technical solutions
• Ensure compliance and data integrity — Build systems with audit trails, access controls, and data governance baked in — not bolted on — to meet regulatory requirements across multiple jurisdictions
• Lead technical discussions — Drive architecture decisions, contribute to design reviews, and mentor engineers; raise the bar on code quality, testing, and operational reliability
• Direct AI agents across the full development lifecycle — from prototyping and implementation to debugging and code review — operating as the architect and decision-maker while AI handles the building
• Expand what's possible with AI tooling — identify opportunities to automate repetitive engineering work, improve code quality through AI-driven review, and share effective patterns with your team

Requirements:

• Embrace an AI-first mentality. Leverage AI to augment your knowledge and capability in navigating development in complex systems with confidence
• Familiar with agentic engineering
• 6+ working on complex systems and delivering quality software, with clear expertise developed in one or more technical areas
• Strong fundamentals in distributed systems design — you've built services that handle high throughput, manage state across systems, and degrade gracefully
• Experience with workflow or state machine systems — you've designed systems where entities move through complex lifecycles with branching logic, SLAs, and human-in-the-loop steps
• Proficiency in building and maintaining APIs and integrations — REST, gRPC, event-driven architectures, and data synchronization across multiple platforms
• Experience working on financially sensitive or regulated systems — you understand why idempotency, audit trails, data retention, and access controls matter and you build for them by default
• Strong collaboration skills and the ability to work effectively with non-technical stakeholders — translating ambiguous business requirements from operations, compliance, and risk teams into well-scoped engineering work
• A growth mindset and comfort navigating open-ended problems where the 'right' answer depends on business context that's still evolving
• Contributed to the growth of fellow engineers through technical leadership, mentoring, and setting engineering standards
• Demonstrated fluency with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot, or similar agentic coding tools) in real production work — not just familiarity, but regular, effective use
• You stay current on the rapidly evolving landscape of AI tooling and actively experiment with new capabilities as they emerge
• Curiosity that pushes you to find flaws in complex systems and take whatever steps are necessary to fix them
• Resilience to persevere in complex situations across multiple axes: e.g., scale, uncertainty, and interconnectedness
• Self-directed and comfortable with ambiguity, with a willingness to publish your reasoning and be wrong publicly—which is essential for thriving in our transparent DRI/IC model
• Experience with platform migrations — moving business-critical systems between platforms with zero customer impact and phased rollout strategies
• Background in financial services domains — accounting, revenue forecasting, treasury operations, tax operations
• Experience building multi-tenant or multi-BU platforms — systems that serve different business lines with shared infrastructure but configurable behavior
• Experience with operational analytics — building data pipelines or reporting systems that give operations leaders real-time visibility into performance