• Design and maintain scalable, secure software architectures aligned with business goals, resulting in robust and reliable systems • Introduce and implement best practices around OO, DDD, and microservices where appropriate • Use AI to streamline processes, reduce friction, and give time back to developers for the work that matters • Implement and enforce coding standards and best practices, driving measurable improvements in code quality and maintainability • Conduct regular code reviews with feedback that meaningfully reduces bug counts and improves software performance • Facilitate clear communication between development teams, product managers, and other stakeholders to keep projects aligned • Use data as your north star - leverage application data, third-party data, and our data warehouse to analyze and solve problems around both product impact and performance • Participate in our agile development process: sprint planning, story grooming, and standups • Champion our SDLC and secure coding practices across everything you ship

• Help build the next generation of AI-powered investigative products. • Join a small, senior team that combines application development and ML testing expertise. • Accelerate agent development, raise engineering standards, and turn work into a reusable AI platform. • Own ambiguous, high-impact technical problems end to end. • Influence architecture across teams and serve as a multiplier for engineers building AI-powered customer experiences.

• Architect and scale the pipelines that turn raw usage into accurate, real-time billing — metering, aggregation, rating, and invoicing across millions of events, from ingestion in ClickHouse to the rating engine. • Build payment flows that are correct under concurrency and partial failure: idempotent charges, retries, reconciliation, and clean handling of provider edge cases (Stripe and beyond). • Develop fraud and abuse detection — signal collection, real-time scoring, automated mitigation — that protects platform margin without getting in legitimate users' way. • Scale the systems everything else depends on: Postgres under heavy write load, Node.js services under pressure, and long-running workflows orchestrated with Temporal where exactly-once semantics and durability actually matter. • Build TypeScript + GraphQL APIs where correctness and auditability are non-negotiable. • Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring its success and scaling it further. • Contribute to our open-source repositories (CLI, Typescript SDK, Railpack, etc.) — Rust experience, or the desire to learn it, helps here. • Be oncall from time to time.

• Lead technical initiatives to evolve the platform with a focus on reliability, performance, and scalability • Develop and enhance services, integrations, and automations related to financial and operational flows • Work on development and maintenance of backend applications and system integrations • Design resilient solutions prepared for continuous operational growth • Improve architecture, technical patterns, and platform engineering best practices • Ensure observability, monitoring, and reliability of services and applications • Automate operational processes, deployments, and technical routines • Collaborate closely with Product, Operations, and Engineering teams