- Design and implement microservices and APIs that handle production traffic with measurable uptime and latency targets

- Identify and fix performance bottlenecks in code or infrastructure, quantifying the impact of your optimizations

- Ship features end-to-end from specification through production, including tests, code review, and incident response

- Propose architecture solutions backed by load estimates or proof-of-concept results to address scalability challenges

- Build logging, monitoring, and alerting systems that surface actionable issues before they impact users

- Mentor junior engineers through code review and pairing to accelerate their ability to ship independently

What We're Looking For :

Must-haves :

- Proficiency in at least one backend language (Python, Node.js) with shipped production systems

- Comfortable with writing majority code using AI

- Experience designing and debugging microservices or distributed systems with REST APIs

- Strong SQL skills and proven ability to optimize database queries and schema design

- Track record owning features end-to-end from design through production deployment

- Comfortable shipping code in moving environments and debugging production issues under pressure

- Working knowledge of ORMs like Prisma and relational databases like PostgreSQL

- Familiarity with background job queues and scheduled task management

- Experience with Redis or Redis-compatible systems for caching and pub-sub

- Good product sense & have built end-to-end projects or products, including frontend/design

Nice-to-haves :

- Experience with containerization tools like Docker or Kubernetes

- Familiarity with message queues or event streaming platforms like Kafka or RabbitMQ

- Exposure to cloud platforms such as AWS, GCP, or Azure

- Experience with JWT-based authentication and session management

- Familiarity with AWS CloudWatch or similar logging and monitoring tools