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# Software Engineer

- **Company:** WEALTH PARTNERS, LLC
- **Location:** New York, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Review, Continuous Integration, PostgreSQL, Node.Js, NoSQL, Software Engineering, Systems Integration, TypeScript, Rust (Programming Language), Data Logging, Large Language Models, Concurrency, Caching, Backend, Kotlin, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Api Design, NestJS, Grpc, Data Pipelines, Docker, Golang
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-wealthcom-8142048

## About the Role

* 3+ years of professional software engineering experience shipping backend systems to production
 * Strong proficiency in TypeScript, or deep experience in another typed language (Java, Go, C#, Kotlin, Rust) with demonstrated ability to ramp quickly into TypeScript
 * Hands-on experience designing and operating systems at meaningful scale - handling real traffic, real data volumes, and real users
 * Solid grasp of backend fundamentals: API design (REST/gRPC), relational and NoSQL databases, messaging/event-driven systems, caching, and concurrency
 * Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and modern CI/CD workflows
 * Production-grade operational mindset: logging, metrics, tracing, alerting, incident response, and a track record of supporting what you ship
 * Comfortable working in a fast-paced, ambiguous, startup environment where priorities shift and you're expected to drive your own work
 * Strong written and verbal communication; able to collaborate across product, design, and other engineering teams, * Prior experience at an early or growth-stage startup, ideally one where you helped scale systems from early traction through significant growth
 * Experience in fintech, wealth management, or other regulated environments (compliance, audit, PII handling)
 * Background in AI/ML infrastructure, LLM-powered product development, or document processing (OCR, extraction pipelines)
 * Experience integrating with enterprise platforms used by financial institutions (custodians, CRMs, portfolio management systems)
 * Exposure to TypeScript ecosystem tools: Node.js, NestJS, tRPC, Prisma, PostgreSQL
 * Bachelor's degree in Computer Science, a related field, or equivalent practical experience

## Description

As a Software Engineer at Wealth.com, you will help design, build, and scale the backend systems powering our estate planning, tax planning, and AI-driven products used by tens of thousands of financial advisors and their clients. You'll work on a TypeScript-first stack alongside engineers who have shipped production software at scale, and you'll have significant ownership over the systems you build - from architecture and implementation through deployment, monitoring, and iteration.

We're hiring across multiple product areas (estate planning, tax planning, Esther AI, platform/integrations) and will match strong engineers to the team where they're most excited to contribute., * Design, build, and operate backend services that power Wealth.com's products - including APIs, data pipelines, and integrations with enterprise wealth management platforms

 * Take features from spec through design, implementation, testing, deployment, and post-launch monitoring; own what you ship
 * Write production-grade TypeScript code with strong testing, observability, and operational discipline
 * Collaborate with product managers, designers, and other engineers to translate ambiguous problems into well-scoped technical solutions
 * Contribute to system design decisions around scalability, reliability, security, and performance
 * Participate in code review, technical design discussions, and on-call rotations as the team grows
 * Help shape engineering culture, tooling, and best practices as we scale the org


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