We are looking for a Python Infrastructure Software Engineer / Backend Platform Engineer to design and develop a new Device Boot Service.
The service will manage server and device boot requests through REST APIs, persist request data in a database, process long-running boot and provisioning operations through asynchronous workers, and track requests through a state-machine-based workflow.
The ideal candidate will have strong production-grade Python backend development experience and a good understanding of distributed systems, asynchronous processing, infrastructure automation, and observability.
Key Responsibilities
Design and develop scalable backend services using Python.
Build and maintain RESTful APIs using frameworks such as FastAPI, Django REST Framework, or Flask.
Finalize and implement the data model, API architecture, state-machine workflow, and migration strategy.
Develop database models, API endpoints, request handling, serialization, and database migrations.
Implement asynchronous and background processing using Celery, RQ, Dramatiq, or similar frameworks.
Design reliable workflows with retry mechanisms, idempotent operations, scheduled jobs, and failure handling.
Implement state-machine-based workflows with concurrency-safe state transitions.
Integrate the service with internal boot, provisioning, and BMC systems.
Write comprehensive unit and integration tests using pytest or similar testing frameworks.
Implement monitoring and observability through metrics, structured logging, Prometheus, Grafana, or similar tools.
Contribute to service deployment, troubleshooting, operational readiness, and production support.
Create and maintain runbooks and technical documentation.
Collaborate with infrastructure, platform, DevOps, and engineering teams to deliver reliable backend solutions.
Required Skills & Experience
Strong hands-on experience in Python backend development in production environments.
Experience building production-grade web services using one or more of :
FastAPI
Django REST Framework
Flask
Strong understanding of REST APIs, API design, request handling, and serialization.
Hands-on experience with ORMs, data models, relational databases, and database migrations.
Experience with asynchronous/background processing frameworks such as Celery, RQ, or Dramatiq.
Good understanding of retry handling, idempotency, scheduled jobs, and asynchronous workflows.
Experience designing or implementing state-machine-based workflows.
Understanding of concurrency, thread/process safety, and concurrency-safe state transitions.
Strong testing experience with pytest or similar frameworks.
Experience with production observability, including logging, metrics, Prometheus, Grafana, or equivalent tools.
Good understanding of software development best practices, version control, debugging, and code quality.
Good To Have
Experience with infrastructure automation or server provisioning.
Knowledge of PXE/iPXE booting and server imaging.
Understanding of BIOS/UEFI.
Experience with Redfish/IPMI and BMC interfaces.
Knowledge of DHCP/DNS and Linux-based server provisioning.
Experience working with hardware or data-center infrastructure.
Exposure to distributed systems and long-running asynchronous workflows.
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