Backend Engineer
Integrate
| Company | Integrate |
| Category | Engineering |
| Location | Seattle |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Not stated |
| Salary | USD 110k–145k |
| Posted | 29 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (lever) |
Description
About Us
Integrate is a Seattle-based company building multiplayer project management software for the world’s most ambitious machines.
We focus on the hardest coordination problems in deep tech like rocket launches and advanced manufacturing, where progress depends on seamless collaboration across companies. Increasingly, this work sits at the intersection of two of the most consequential forces shaping the modern world: defense and artificial intelligence, where both the pace of innovation and the stakes of execution are exceptionally high.
Integrate enables teams to collaborate with vendors, customers, and partners as fluidly as modern tools support internal teams. Our mission is to modernize how organizations build together in the emerging deep tech economy, reducing friction, misalignment, and unnecessary work at every step.
Our Solution
Traditional project management tools weren’t designed for the speed, scale, and interdependence of modern hardware development. Integrate is purpose-built for this new reality.
We provide a platform that brings clarity and structure to complex, cross-organizational programs helping teams communicate effectively, stay aligned, and move faster with confidence. By improving how critical information is shared and decisions are made, we enable organizations to focus on what matters most: building the future.
About the Role
We’re hiring a Backend Engineer to join a small, high-ownership engineering team building the infrastructure layer of Integrate’s platform. This isn’t a maintenance role — you’re coming in to help us scale.
The problems you’ll work on are real and immediate: distributed system performance, data federation at scale, and building the architecture that lets Integrate grow with its increasing customer base. You’ll work closely with engineers who care deeply about craft, move fast, and aren’t afraid to make hard calls.
If you’ve built systems that handle serious consumer or commercial load — cloud migrations, microservice transitions, distributed data pipelines, event-driven architecture — this is the role for you.
What You’ll Work On
Design and scale distributed backend systems handling high-throughput, real-time data across a complex dependency graph
Own performance profiling and debugging across our Go and Rust services — identify bottlenecks and ship fixes
Contribute to our data federation architecture, including S3 integration, graduation pipelines, and downstream data services
Build and evolve gRPC service interfaces and REST/JSON APIs consumed across internal and external surfaces
Work across SQL and NoSQL data stores — schema design, query optimization, and durability patterns
Drive infrastructure decisions in collaboration with platform engineers and technical leads
Instrument, observe, and debug production systems — on-call, root cause analysis, and incident follow-through
Tech Stack
You’ll be working primarily in Go, with Python for tooling and data workflows. Our stack includes gRPC, REST/JSON, GraphQL, PostgreSQL, NoSQL stores, and Kubernetes-managed infrastructure. We use Terraform for infra-as-code.
Experience
We're looking for someone with a strong foundation in distributed backend systems — though we don't expect you to check every box. Here's the kind of background that sets you up well:
2–5+ years of backend engineering experience, with a focus on distributed or high-availability systems
Production experience in Go; Python for tooling or data workflows
Familiarity with gRPC and REST/JSON API design at scale — bonus points for experience with gRPC design patterns, binary serialization, or API gateway-layer GraphQL
Experience with both SQL (PostgreSQL) and NoSQL data stores in production
Kubernetes in real environments — deployment, scaling, resource management, debugging
Exposure to cloud infrastructure (AWS, GCP, or Azure), particularly around compute, storage, and data services; Terraform or other IaC tooling is a pl
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