About the Role We're looking for a passionate Backend Engineer to build and scale the backend systems that power our AI platform for engineering simulation. You'll work on production-grade APIs,distributed microservices, event-driven architectures, durable long-running workflows, and cloud-native infrastructure. • It's a new platform, built from the first commit. This role is ideal for engineers who enjoy solving • complex backend problems, building highly scalable systems, and taking ownership of services • from design to production. You'll collaborate closely with ML engineers, simulation engineers, • and platform engineers to build reliable backend services capable of handling high-throughput • AI and simulation workloads in a fast-paced startup environment. What You'll Build • Production-grade REST and gRPC APIs using FastAPI • Distributed microservices powering AI and simulation workflows • Durable, long-running workflows using Temporal • Event-driven systems using Kafka or Pub/Sub • Scalable PostgreSQL data models, including vector search • Cloud-native, observable services on Kubernetes Key Responsibilities Backend Development • Design, develop, and maintain REST APIs (FastAPI) and gRPC services, contract- • first • Build modular, reusable, type-safe, and well-tested backend services • Design PostgreSQL schemas with proper indexing, constraints, and migrations, and • optimize queries • Build durable, long-running workflows using Temporal: workflows that run for hours, • wait for human input, and resume after failures • Build asynchronous processing using Kafka, Celery, Redis, or Airflow • Integrate backend services with storage such as GCS/S3 and internal platform • services Distributed Systems • Build resilient systems with retries, dead-letter queues, idempotency, and failure • recovery • Design stateless, horizontally scalable services with both synchronous and • asynchronous communication • Keep each customer's data isolated at every layer of a multi-tenant platform Platform & Cloud • Work with GCP services such as GKE, Cloud SQL, Cloud Storage, and Pub/Sub, • and with PostgreSQL run in our own containers on Kubernetes • Implement caching strategies using Redis Reliability & Observability • Implement structured logging and instrument services with Prometheus and • OpenTelemetry. • Improve reliability through health checks, readiness probes, graceful shutdowns, and • fault tolerance. • Participate in production debugging, incident response, and performance optimization. Required Skills Backend Engineering • 4+ years of professional backend development experience • Strong Python skills, including async programming (async/await, concurrency, • background workers) with FastAPI • Experience with the modern Python service stack: Pydantic, SQLAlchemy (async), • Alembic, pytest, and mypy • Solid REST and gRPC API design, contract-first (OpenAPI, protobuf, JSON Schema) • Experience with PostgreSQL, database design, and query optimization; familiarity with vector databases such as pgvector • Good understanding of distributed systems and event-driven architectures, with • Kafka or Google Pub/Sub • Understanding of multi-tenant system design • Experience with Redis for caching, task queues, or rate limiting Cloud & DevOps • Experience with Docker and deploying applications on Kubernetes (GKE preferred) • Familiarity with CI/CD pipelines (GitHub Actions preferred) • Understanding of rolling deployments, rollbacks, secrets management, and configuration management. Good to Have • Experience with Temporal or other workflow orchestration tools • Experience with engineering simulation or physics: CAE tools, CFD or thermal • analysis, solvers such as OpenFOAM or Ansys, or HPC • Experience with the transactional outbox pattern and change data capture • (Debezium) • Experience with MCP or LLM agent frameworks such as LangGraph • Experience with NoSQL and graph databases What We're Looking For • We value engineers who: • Take ownership from design to production • Build scalable, reliable, observable, production-ready systems • Bring strong debugging, problem-solving, and system design skills • Make pragmatic engineering decisions with long-term maintainability in mind • Communicate clearly and work independently in a fast-moving startup • Are eager to learn new technologies and solve challenging backend problems Why Join Us? • Build cutting-edge AI infrastructure on a new platform, from the first commit • Work on products that operate at scale • High ownership, minimal bureaucracy, and real influence on architecture • Collaborate with experienced Backend, ML, Platform, and Simulation Engineers • Continuous learning through mentorship and challenging engineering problems