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

- Solid 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

📌 Backend Engineer (Bengaluru)
🏢 Zenteiq Aitech
📍 Bengaluru