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OfferUp's Connect team owns the infrastructure that powers buyer-seller interactions on the platform: messaging, notifications, location services, meetups, and subscription systems. The team runs high-volume Java microservices and streaming pipelines, integrates with third-party platforms (Braze, Amazon Pinpoint, Apple, Google), and uses experimentation to drive product decisions. Recent high-impact projects include building OfferUp's video infrastructure for listing videos and LLM-powered catalog enrichment on Amazon Bedrock.
As a Software Development Engineer II, you will own features end-to-end from concept through rollout. You'll design and build backend services and event-driven pipelines, improve reliability and latency of messaging and notification systems, integrate with third-party platforms, and collaborate with Product, Design, Data Science, and mobile engineering teams. You'll participate in A/B testing, conduct code reviews, mentor junior engineers, create shared components to improve team velocity, maintain monitoring and alerting for your services, and participate in on-call rotation. The role emphasizes shipping quickly, learning from production, and using AI coding tools (Claude, Gemini) to increase development velocity.
OfferUp is a top-10 shopping app in the US with 15%+ monthly active users in major markets. Founded in 2011 and based in Bellevue, WA, the company is backed by leading investors including Andreessen Horowitz, Warburg Pincus, and GGV Capital.
**Requirements:**
- 2+ years of professional software engineering experience
- Demonstrated ability to own delivery of multiple features end-to-end (plan, design, develop, deploy) with high efficiency
- Strong coding skills in Java with working understanding of microservices and distributed-systems fundamentals
- Good knowledge of data structures and object-oriented design
- Working knowledge of asynchronous, event-driven systems (queues, pub/sub, streams), including retries and idempotent processing
- Hands-on experience using AI coding tools (Claude or similar) in real engineering workflows
- Habit of following good coding patterns, writing appropriate tests, considering trade-offs, seeking edge cases
- Comfortable giving and receiving feedback in code reviews
- Bias toward shipping, learning from production, and iterating quickly
- BS or MS in Computer Science, or equivalent practical experience
**Helpful but not required:**
Fluency in another modern object-oriented language; TypeScript and Node.js; Agile development; REST API design and integration; AWS services (DynamoDB, SQS, SNS, Lambda, ElastiCache); notification platforms (Braze, Amazon Pinpoint, APNs, FCM) or in-app subscription billing; stream processing frameworks (Apache Flink, Kafka Streams); A/B testing platforms (Statsig, LaunchDarkly, Optimizely) and analytics warehouses (BigQuery, Snowflake); LLM API integration (Bedrock, Vertex AI, OpenAI); Kubernetes, Helm, and CI/CD pipelines.
