Job description

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

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