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.
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
Requirements
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
Tech Stack
AWS
Azure
Cloud
Distributed Systems
DynamoDB
ElasticSearch
Google Cloud Platform
GRPC
Kubernetes
Microservices
Postgres
Redis
Go
Benefits
full medical/dental/vision
401(k)
equity
Three company-wide events per year in San Francisco