Founding Software Engineer - Integrations & Pipelines

SprintReview, Inc.; Seattle, Northern (WA, KY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Full benefits

Relocation assistance

Unlimited AI tooling budget

Job summary

SprintReview, Inc. is building AI-first software to transform how teams build software. You’ll architect an Integration SDK and ship production adapters for GitHub Enterprise, GitLab CE, Jira, and Slack, while shaping real‑time event streams for AI agents.

This role blends backend API work with scalable infrastructure in cloud SaaS and on‑prem environments. You will work closely with founders and customers, delivering production‑ready services in days, not weeks.

Qualifications

• 4+ years building backend APIs or event pipelines in TS/Go/Rust/Python.
• Shipped a GitHub or Jira integration in production.
• Experience with Kubernetes and cloud or on-prem deployments.

Responsibilities

• Design & own an Integration SDK that turns “write a new connector” into copy‑paste‑run.
• Build and maintain production‑ready adapters for GitHub Enterprise, GitLab CE, Jira, Slack.
• Shape event streams & data models so AI agents can reason over code‑workflow events in real time.
• Ship and operate services on Kubernetes (Helm) in cloud SaaS and on‑prem installs.
• Work with founders and customers; get code into production in days.
• Dogfood our engineering manager agent and be highly opinionated about its design.

Skills

Backend APIs

Event pipelines

TypeScript

Go

Rust

Python

Kubernetes

OAuth2

Webhooks

Observability

Tools

GitHub Enterprise

GitLab CE

Jira

Slack

Job description

The biggest barriers to AI adoption in software engineering are the friction of human context switching and the opacity of context for AI agents. Actual AI is the glue that enables the modern software‑engineering team. Already serving Fortune 20 customers, we're hiring founding engineers who want to change how software gets built - forever.

Our foundation is analyzing code, issues, PRs, and every other work artifact wherever they live. To keep pace with customers we must add new data sources without sacrificing scalability, reliability, or our ability to deploy in-VPC and on‑premises. You’ll architect the framework to make this possible.

What you'll do

• Be an AI-first engineer from day 1. You shouldn’t just be building systems, you should be building AI systems that build the systems.
• Design & own an Integration SDK that turns “write a new connector” into copy‑paste‑run.
• Build and maintain production‑ready adapters for GitHub Enterprise, GitLab CE, Jira, Slack—and whatever comes next.
• Shape event streams & data models so our AI agents can reason over code‑workflow events in real time.
• Ship and operate your services on Kubernetes (Helm) in both cloud SaaS and air‑gapped on‑prem installs.
• Work shoulder‑to‑shoulder with founders and customers; your code hits production in days, not weeks.
• Dogfood our engineering manager agent and be highly opinionated about its design.

You might be a great fit if you

• Have shipped a GitHub or Jira integration in production.
• Bring 4+ years building backend APIs or event pipelines in TypeScript/Go/Rust/Python.
• Speak OAuth2, PATs, webhooks, and rate‑limit back‑off fluently.
• Can containerise a service and debug it in k8s in your sleep.
• Obsess over observability, reliability, and elegant developer experience.
• Bonus points: You’ve built at a fast growing startup and dealt with growing pains first hand.
• Extreme bonus points: You’re already day dreaming about what you can accomplish with an unlimited AI tooling budget.
• $140‑$180k salary
• Full benefits
• Relocation assistance
• Truly unlimited AI‑tooling budget (seriously)

Hiring process at a glance

Incredibly simple and transparent. Absolutely no leetcode.

Start with founder chats. Follow with a 60‑min architecture deep dive. Then, a paid on‑site day. Wrap up with references & offer.