Astrome Technologies

Systems & Data Infrastructure Engineer

Bengaluru, Karnataka, India · Work style not stated · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerAstrome Technologies
  • LocationBengaluru, Karnataka, India
  • Work styleWork style not stated
  • Employment typeFull-time
  • Employer posted

Functional Focus: Data Engineering, Real-Time Streaming, and HPC Job Orchestration

  • Scientific Data Architecture: Design crash-safe, binary data formats capable of handling high-speed incremental writes from compute jobs and concurrent reads for query-time calculations.
  • Operational Data Modeling: Design and maintain a relational database schema via an async ORM, backend-agnostic across database engines.
  • HPC Workload Management: Manage the lifecycle of batch and interactivecompute jobs, handling subprocess monitoring, status polling, and cluster filesystem coherency.
  • Real-Time API & Streaming: Build async backend services and long-lived, server-pushed event channels with backpressure handling, and enforce role-based access control on all APIs.
  • AI Service Integration: Integrate and orchestrate calls to an AI/analytics service from the backend, coordinating with application state.
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Requirements

Mandatory:

  • Python 3, async/await
  • FastAPI (or similar async Python web framework)
  • Relational DB modeling, async ORM (e.g. Tortoise, SQLAlchemy), SQL
  • Server-Sent Events or WebSockets, backpressure handling
  • Role-based access control (RBAC), token-based auth (JWT/OAuth)
  • Subprocess management, batch job lifecycle/status polling
  • Binary/streaming file format design, crash-safe writes
  • REST/SDK integration with an external AI/LLM service

Optional:

  • Go or another async-capable backend language
  • GraphQL
  • PostgreSQL administration, Alembic/migrations tooling
  • Message queues/brokers (Redis, RabbitMQ, Kafka)
  • Air-gapped/offline deployment experience
  • HPC schedulers (SLURM, PBS), Linux cluster filesystems
  • NumPy/columnar formats (Parquet, HDF5)
  • Tool-calling / function-calling orchestration patterns

Benefits

We offer great career growth, ESOPs, Gratuity, PF and Health Insurance.

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At a glance

  • Employment typeFull-time
  • SeniorityMid level
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

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SQL Python Kafka GraphQL PostgreSQL LLM

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