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Open nowPosted 127 days ago

Senior Software Engineer

Advantest278 open roles

Where
Chennai, IND
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Your applicationOpen nowSenior Software EngineerAdvantest · Chennai, IND

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11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 127 days ago

The posting

We are looking for a Senior Software Engineer to help build the backend and platform foundation for AI-assisted engineering automation. This role is ideal for someone who enjoys building reliable backend services, long-running workflow execution, data and artifact handling, deployment, observability, and integration with AI/ML services. The engineer in this role will help turn advanced prototypes into reliable internal platforms used by engineering teams. It is also a strong fit for platform engineers who want to grow into AI infrastructure, LLM integration, and agent-enabled engineering workflows.

WHAT YOU WILL DO: - Build backend APIs and services for engineering automation workflows. - Design and improve long-running job execution using worker queues such as Celery/Redis or similar systems. - Develop reliable handling of engineering data, input files, configurations, logs, intermediate outputs, final results, and versioned artifacts. - Improve platform reliability through testing, structured logging, monitoring, error handling, and failure recovery. - Containerize, deploy, and operate services using Docker and Linux-based environments. - Support concurrent users and workloads through scalable service design, queue management, and resource-aware execution. - Integrate platform services with automation engines, AI assistants, local models, and external AI/ML services. - Work closely with algorithm, AI, and domain engineers to convert engineering workflows into maintainable software.

5-7 years of hands-on software engineering experience. - Strong Python backend development. - Experience with FastAPI, Flask, Django, or similar backend frameworks. - Experience with background jobs, queues, workers, async processing, or workflow orchestration. - Hands-on exposure to Redis, Celery, message brokers, caching, or equivalent systems. - Docker and Linux deployment experience. - Strong debugging, testing, data modeling, and code review skills. - Ability to take ownership of ambiguous platform and product problems. - Comfortable using AI coding assistants while critically reviewing generated code.

GOOD TO HAVE: - Experience building internal platforms, workflow tools, automation systems, or data-heavy applications. - Object storage, artifact management, large-file handling, or result-versioning experience. - Observability tools such as Prometheus, Grafana, OpenTelemetry, ELK, Loki, or similar. - Kubernetes or container orchestration exposure. - Interest or exposure to LLM engineering, AI agents, model-serving APIs, vector databases, GPU-backed workloads, or MLOps/LLMOps. - TypeScript/frontend experience for engineering dashboards or visualization-heavy applications. - Exposure to semiconductor test, validation, CAD/CAE, simulation, manufacturing, or engineering automation domains.

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