• Work responsibly with stakeholders using team tools (Slack, Jira, Github) • Drive decision-making processes that match the importance and urgency of decisions • Foster productive discussions with strong opinions weakly held • Collaborate with Product, Design, and Data teams to plan viable, desirable, and feasible solutions • Build technical solutions using Node.js, TypeScript, PostgreSQL, Terraform, and AI • Deploy and manage services in AWS staging and production environments • Improve reliability through testing, observability, monitoring, and deployment automation • Participate in support rotations and incident management • Evaluate and improve team processes through regular reflection and experimentation

• Scope, design, build, and maintain APIs, services, and workflows that reliably process high-scale money movement and settlement. • Own the architectural direction for the settlement domain in partnership with the CTO; produce and maintain architecture documentation (current state, target state, and migration plan) and drive alignment across teams. • Review and approve architecture decision records (ADRs) and technical designs for settlement-related changes; ensure decisions meet standards for correctness, operability, security, and long-term maintainability. • Drive end-to-end execution for large, ambiguous initiatives: reduce risk early, align stakeholders, and deliver in phases. • Improve correctness and operational safety across settlement flows: deeply understand how money moves end-to-end (timing, state transitions, adjustments, exceptions), design for edge cases, and implement idempotency, reconciliation guarantees, safe backfills, incident readiness, and disciplined releases. • Partner with Engineering Manager, Product, Performance, CTO, and other Staff peers to shape roadmaps and strategy for settlement—develop deep expertise in both the technical system and the business needs (what clients require from settlement, reporting, timing, and exception handling) and translate that into durable platform capabilities. • Raise engineering standards across the team and broader org by partnering with other Staff engineers to define and drive consistent patterns for building and operating money- movement systems (design reviews, abstractions, testing strategy, observability, and operational practices) across monolith + microservices. • Drive adoption of AI-assisted engineering practices (tooling, workflows, guardrails) to improve throughput and quality—especially for testing, incident response, code review, and documentation.

• Architect, develop and maintain business applications • Process user requests for developing of new and support for existing IT systems • Prepare documentation related to development and maintenance of business applications • Execute and implement software tests, participate in code reviews • Follow the development standards applied within the department • Track the development, maintenance and related tasks in the tracking system used within the team • Follow the progress of systems development technologies and advance professional skills as necessary

• Architect Distributed Systems: Design and implement scalable backend services using Node.js and Event-Driven Architecture (SQS/SNS, Kinesis, or Kafka) to handle massive data spikes. • Data Modeling & Optimization: Own the schema design and performance tuning of PostgreSQL databases, ensuring data integrity and high availability for complex relational datasets. • Cloud Infrastructure: Deploy and manage production workloads on AWS, utilizing Lambda, ECS, and serverless patterns to drive efficiency and reliability. • Technical Leadership: Lead the technical design of high-impact features, performing deep-dive code reviews and mentoring mid-level engineers on backend best practices. • Operational Excellence: Drive the "you build it, you run it" culture by improving observability (logging, metrics, tracing) and reducing technical debt through pragmatic refactoring. • Cross-Functional Collaboration: Partner with frontend and AI/ML teams to define robust API contracts and data flow strategies that support our multimodal AI capabilities.