Senior/Staff Backend Engineer - Data Ingestions (Remote)
About the position We’re building the universal connective layer between consumers and complex, fragmented systems—think “Plaid, but for a highly regulated, messy domain.” Our platform ingests data from portals, accounts, and legacy systems that were never designed to work together. On top of that foundation, we power intelligent agents that don’t just explain information—they act on a user’s behalf , navigating systems, resolving issues, and answering highly personalized questions with real context. This is a product-first engineering team tackling hard, real-world problems at scale, with meaningful ownership and technical influence. The Role This is one of the most senior backend hires on the team. You’ll help define the technical foundation for a critical platform surface area that sits at the intersection of infrastructure, automation, and real-world data. You’ll be embedded in the Integrations Pod , working closely with engineers across AI/automation and product-focused teams. The environment is high-autonomy, low-bureaucracy, and designed for engineers who thrive in ambiguity. Team Structure ~11 engineers total 3 pods: Integrations Pod (backend & infrastructure — this role ) Automations Pod (agentic systems & AI-heavy backend) Product Engineering Pod (product & growth) The engineering team is fully remote and distributed across the U.S. Responsibilities • Design and build distributed backend systems that operate reliably at scale • Own complex integrations where clean APIs don’t exist • Build mission-critical data pipelines and orchestration layers • Use automation and AI techniques to interact with brittle or non-standard systems • Solve messy, real-world data problems with pragmatic engineering judgment • Set technical direction and standards for a core backend domain (Principal level) • Mentor engineers and act as the technical voice for the pod Requirements • 8+ years of backend engineering experience • Proven track record building and scaling distributed systems • Experience at high-quality startups through meaningful growth stages (Series A–E) • History of solving ambiguous problems involving unstructured or unreliable data • Longer tenures at prior companies (typically 3+ years) • Stack: TypeScript (strict), NestJS, GraphQL, Temporal, Postgres (Aurora), AWS, Pulumi. AI-driven automation for non-API systems. Monorepo, modern observability, strong CI/CD. • Deep backend fundamentals (system design, data modeling, reliability) • Experience integrating with complex or non-standard external systems • Built and operated critical data pipelines and orchestration workflows • Applied automation or AI techniques to reduce manual or brittle processes • Thrives in high-trust, high-ownership environments • Comfortable making decisions with incomplete information • Product-minded engineer who understands real user pain • Able to balance speed with durability in foundational systems Nice-to-haves • Fintech or modern healthtech experience is a plus, not a requirement Apply tot his job