Availability awaiting confirmation
We are waiting for a fresh update from the source. This page preserves the last received job details; current availability is not confirmed.
Job description
This is backend engineering where correctness matters, latency matters, and scale is real. You'll build the infrastructure that replaces the legacy tools failing enterprises today — and you'll see your work running live on sites used by millions of people.
What You'll Work On
You'll build reliable, high-performance systems that make sense of messy, high-stakes data flowing through databases, pipelines, SaaS tools, websites, and mobile apps.
Specifically
Design and build Go microservices that process distributed data flows and support real-time governance decisions across an organization's entire stack
Develop clean, well-versioned APIs that orchestrate permissions, data directives, and automated actions across external systems
Build distributed pipelines and event-driven architectures that transform structured and unstructured data and feed downstream intelligence
Own the full lifecycle — from understanding the customer problem through design, implementation, deployment, monitoring, and iteration
Apply resilience patterns (timeouts, retries, circuit breakers) to keep systems predictable under real-world load
Drive performance through concurrency tuning and efficient resource usage
Contribute to architecture decisions: service boundaries, data models, queue/stream strategy, and AI integration points
Talk directly to customers to understand their pain points and translate requirements into scalable system designs
What Makes This Different
You'll own real problems, not tickets. Engineers here take a customer problem and figure out how to solve it, you're not waiting for a product manager to hand you a spec. You think through the problem, define the approach, and build it.
You'll never be bored. You won't be on the same product for three years. You'll move across problems, maybe six months on one, then a new challenge, a new product, a new domain. There's always something new to learn and build.
Your code runs on real sites, for real users. This isn't internal tooling. You'll see your work live on major consumer-facing websites and apps, processing millions of decisions daily.
AI assistants are part of the workflow. We use Cursor, Claude Code, Copilot, and similar tools daily. We expect engineers to leverage them and we evaluate candidates using them during interviews.
The company is at an inflection point. We're well-positioned to take over this market. The equity upside is real, the customer list is growing fast, and the engineering team has a direct line to the company's success.
What We're Looking For
We're hiring at both mid‑level and senior levels
what matters most is that you can think through complex problems independently and ship production systems that work at scale.
Strong backend engineering foundation in Go or similar systems languages
Experience building APIs, distributed systems, or microservices in cloud‑native environments (AWS/GCP/Azure)
Familiarity with databases and storage systems: Postgres, DynamoDB, ScyllaDB, Redis, Elasticsearch, or similar
Understanding of distributed‑systems fundamentals: concurrency, queues/streams, transactions, event‑driven patterns
Experience with gRPC, REST, and service‑to‑service communication
Comfort with Kubernetes, containers, and operational concerns (security, networking, resource management)
Interest in modern AI/data tools (LLM APIs, embeddings, retrieval)
Experience using AI coding assistants (Cursor, Claude Code, Copilot, or similar) in your daily workflow
Curiosity, grit, and a drive to figure things out without heavy direction — startup experience is a plus
CS degree or equivalent practical experience building production systems
Language and framework experience matters less than your ability to think.
The Team
The engineering team is 15 people, entirely co‑located at our San Francisco headquarters. This in‑person collaboration drives fast iteration, direct customer interaction, and the kind of hallway conversations that make startups move. You'd report to VP of Product & Engineering.
This is a hybrid role — in‑office 3 days a week at our SF HQ (SoMa)
Compensation
$160,000 – $220,000 base salary + equity + benefits
Additional Job Application Terms
The range reflects both mid‑level and senior experience. Compensation decisions factor in skills, experience, and market conditions. Benefits include full medical/dental/vision, 401(k), and equity. Three company‑wide events per year in San Francisco.
This job is part of LinkedIn’s Full‑Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia.
We’re committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you’re a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don’t hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.
#J-18808-Ljbffr
Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.