All jobs Remote Browse Skills

Search jobs collected from company career pages and public sources, in one place.

Built by Darshit Gajjar. Follow me:

Explore

All jobs Browse all categories Remote jobs Junior roles Senior roles

Popular

AI engineering Frontend Backend Data science

Legal

Disclaimer & Terms Job safety tips Report a job

Jobyssey is a job search engine. We are not the employer or a recruiter and do not verify listings. Jobs link to third-party sites and you apply there at your own risk. Never pay to apply for a job. Company names and trademarks belong to their owners. See the full disclaimer.

© 2026 Jobyssey

Home Jobs Remote Explore

Systems & Data Infrastructure Engineer at Astrome Technologies – Bengaluru | Jobyssey

Home
Jobs
Devops jobs
Systems & Data Infrastructure Engineer

Systems & Data Infrastructure Engineer

Astrome Technologies · Bengaluru, Karnataka, India · 2 months ago

Apply on company site

Before you apply

Jobyssey is a search engine. We don't post, own or verify this job and are not the employer or a recruiter. You'll apply directly on apply.workable.com, under that site's terms.

Never pay to apply, for training or equipment, and never share bank details, ID documents or passwords before you've confirmed the employer is real.

Job safety tips Report this job Disclaimer

Category: Devops

ai analytics api data-engineering data-modeling fastapi graphql hpc jwt kafka linux llm numpy oauth parquet

Explore more jobs

Devops jobs Remote Devops jobs Jobs in India Devops jobs in India

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.

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.