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Integrate
Integrate is a Seattle-based company building program management software for the world’s most ambitious machines 🦾.Integrate simplifies cross-organizational collaboration within deep tech (think rockets, self-driving cars, robotics), with vendors, customers, and other external stakeholders as seamlessly as other software solves collaboration for internal teams.
We are revolutionizing how organizations work together in the new deep tech economy by reducing communication overhead and unnecessary workload.
Our SolutionExisting software tools struggle to match the rapid pace and complexity of hardware development in deep tech industries. Integrate is creating specialized software that facilitates clear, efficient, and effective communication across internal and external stakeholders, empowering teams to innovate faster.
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 it’s 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-throughTech StackYou’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.
ExperienceWe'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 plus A track record on complex system work: monolith-to-microservice transitions, cloud migrations, data pipelines, or consumer-scale workloads Strong debugging instincts — you can read a flame graph, find a bottleneck, and ship a fix; experience with load testing or chaos engineering is a nice addition Background in ecommerce, fintech, or other consumer-scale SaaS is helpful but not required
We are an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity and/or expression, national origin, protected veteran status, disability, genetics, or citizenship status (when otherwise legally authorized to work and access export-controlled data) and will not be discriminated against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we operate.
We encourage applicants of all ages.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
An equity component is also included in our compensation packages. We also offer excellent health insurance benefits and a matching 401k program.
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