Senior Backend & Cloud Infrastructure Engineer

Role overview Build and operate the backend services and cloud platform behind an AI-powered consumer product. This hands-on role spans API and service design, AWS infrastructure, reliability, and performance, with ownership from technical planning through production support.

Responsibilities - Design and evolve backend services in Python or Go, including REST and gRPC APIs for consumer and AI workloads. - Build and tune asynchronous jobs and messaging systems for throughput and consistent data handling. - Manage AWS infrastructure and infrastructure-as-code, and improve deployment workflows and shared platform tools. - Strengthen monitoring, logging, alerting, capacity planning, autoscaling, and disaster recovery. - Lead production debugging, on-call response, and post-incident reviews; improve cloud cost controls and security practices.

Requirements - At least five years of backend engineering experience, including two or more years focused on cloud or infrastructure work. - Strong Python or Go skills and experience building substantial services with frameworks such as FastAPI, Django, or Gin. - Production experience designing, operating, and optimizing AWS environments; familiarity with Docker, ECS or Kubernetes, and Terraform or similar tools. - Strong relational database design and performance tuning, especially with MySQL or PostgreSQL; familiarity with Redis, Kafka, Nginx, or comparable middleware. - Production troubleshooting and on-call experience, with the communication skills to own work from design to launch.

Nice to have - Experience with AI or LLM applications, high-traffic consumer products, or multi-cloud environments and migrations. - Familiarity with data platforms such as BigQuery, or with networking, zero-trust security, and compliance.

Benefits and work setup The role offers competitive salary, equity, and health insurance. The team describes a fast-moving, early-stage environment with room to take ownership and explore ideas.