• Location
  • New York
  • Last Published
  • May. 19, 2026
  • Sector
  • Fintech
  • Function
  • Other Engineering
Location

New York City

Employment Type

Full time

Location Type

On-site

Department

Engineering

We process billions of financial records for major banks. Peak ingestion is about 2,500 records per second across MongoDB, Kafka, Bull, Redis, and Snowflake. We need to scale that 10x.

We need someone to build the infrastructure that makes that possible without breaking things. This role focuses on reliability, test infrastructure, and deployment confidence

This is greenfield work. Nobody owns this full-time today. You would be the first person whose entire job is building the systems that keep quality high as we ship faster.

About Eisen

Eisen is the first account offboarding platform for financial institutions. We handle escheatment, disbursement, and customer outreach for banks and fintechs. We help them close the loop on inactive accounts and get people back to their money.

We handle SSNs, account numbers, and financial data. If we get something wrong, a bank’s customers are affected and regulators notice. We’re SOC 2 compliant, onboarding bigger financial institution customers, and adding new products constantly.

The Work

Your first project is designing and building our testing harness from the ground up. This is infrastructure work, not configuring someone else’s framework. You’ll architect the system, choose the tools, and own the outcome.

After that, the roadmap looks something like this:

Test infrastructure

• Design the automation layer across unit, integration, and E2E. Decide what belongs where

• Own CI/CD quality gates in GitHub Actions. Slow or flaky pipelines are your problem to solve

• Build performance and load testing. We need to know what breaks at 100M+ accounts before our customers find out

• Figure out test data management so tests are reproducible across environments

Data integrity and compliance

• Design testing around PII handling, encryption, and audit trails

• Build quality gates that maintain SOC 2 compliance as we scale

• Validate financial data transformations at every stage of the pipeline. Make it hard to ship a data integrity bug

Deployment confidence

• Define release certification so deploys feel safe, not nerve-wracking

• Track defect escape rate, rollback rate, change failure rate. Make quality visible with dashboards and alerting

• Move testing earlier in the cycle. Work with product and platform engineers to shift left

Technical leadership

• Sit in architecture reviews and flag risks before they become incidents

• Help engineers get better at testing their own code. Shared ownership, not a bottleneck

• Say “this isn’t ready” when it isn’t ready. Have people take you seriously when you do

About You

You come from infrastructure, DevOps, platform engineering, or SRE. You’ve built systems that other engineers depend on. You’re used to thinking about pipelines, reliability, observability, and automation at scale. Now you want to apply that to quality.

• 5+ years of engineering experience with increasing ownership of infrastructure, CI/CD, or platform work

• You’ve built and maintained CI/CD pipelines in GitHub Actions or equivalent. You’ve written the YAML, debugged the failures, optimized the runtimes

• Strong JavaScript/TypeScript skills. Experience with testing tools like Jest, Cypress, or Playwright is a plus but not required if you can pick them up quickly

• Experience with performance testing tools (k6, Artillery, Locust) or load testing infrastructure

• You understand how distributed systems fail. You can read an architecture diagram and point to the parts that will break under load

• You’ve worked in fintech, banking, or a similarly regulated environment. You know what compliance looks like day-to-day

• You’re pragmatic about tradeoffs between speed and quality. You don’t chase 100% coverage for its own sake

• You’re comfortable figuring things out. We’re building this function from scratch

Nice to Have

• Experience with MongoDB, Kafka, Redis, or Snowflake in production

• Background in data pipeline testing or ETL validation

• Familiarity with AI-assisted development tools (Claude Code, Cursor, Copilot). We use them and ship a lot of PRs because of them

Compensation

• Competitive salary and equity

• 100% employer-paid health, dental, and vision

• 401(k) with company match

• Unlimited PTO