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 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

Who You Are

You operate well with autonomy and ambiguity. You're the kind of engineer who runs toward hard problems, and you're comfortable in an environment where the right answer isn't always obvious on day one.

You have strong opinions, but you hold them lightly - you can articulate your reasoning, hear a counterpoint, and update. You care about making the system better, not being right.

You're excited to learn and grow in all facets. You're joining a team that's building in the open - that means context-sharing, code review that actually teaches something, and the expectation that everyone is leveling up together.
ITAR Requirement

This position requires access to information protected under US export control laws, including the International Traffic in Arms Regulations and/or the Export Administration Regulations. As such, US person status (including US citizens, U.S. permanent residents, individuals granted U.S. asylum status, or individuals admitted in U.S. refugee status) is a required qualification for this position.

$120,000 - $145,000 a year

An equity component is also included in our compensation packages. We also offer excellent health insurance benefits, matching 401k program and FSA account, commuter benefits, wellness stipend, etc.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.