Fullstack Developer

Roche • Prescription Drugs • Diagnostic Tests & IVD • Python • JavaScript • TypeScript • 2 months ago
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Location
In office (Hyderabad)

First seen by Alion on Aug 26, 2026. Roche scores A on the Alion truth index.

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Roche

Roche is a Swiss healthcare group founded in Basel in 1896 and is unusual in operating two large divisions of comparable importance: prescription medicines and in vitro diagnostics. The pharmaceutical business is built on oncology, neurology, immunology, ophthalmology and haemophilia, with products such as Ocrevus, Hemlibra, Perjeta and Vabysmo, while the diagnostics division supplies laboratory analysers, molecular tests and sequencing systems to hospitals worldwide. The group owns the American biotechnology company Genentech outright and the Japanese firm Chugai in majority, is controlled by a family shareholder pool, and spends among the largest research budgets in the industry.
roche.com • HQ: Basel, Switzerland • Biologics & Biosimilars • Oncology Therapeutics • Diagnostic Tests & IVD • Prescription Drugs • 5000+ employees • Est. 1896
Tech stack of Roche
Backed by RA Capital Management, Sofinnova Investments

Responsibilities:

  • Build and enhance React-based frontends hosted on CloudFront.
  • Design scalable, low-latency APIs using FastAPI (Python) integrated with API Gateway (REST + WebSocket).
  • Develop AWS Lambda functions for backend services, data handling, and orchestration.
  • Hands-on experience with OpenSearch for implementing scalable search functionality.
  • Manage authentication using SSO and enable secure access flows.
  • Integrate real-time WebSocket interfaces for LLM streaming and dashboarding.
  • Work closely with data science teams to connect LLM pipelines (LangChain + RAG) and vector search mechanisms.
  • Design and maintain serverless data layers using DynamoDB, Aurora PostgreSQL, Athena, and S3
  • Participate in CI/CD automation using GitHub Actions, CloudFormation/CDK, and manage IAM roles/policies.
  • Collaborate on data pipelines using AWS Glue, Airflow (MWAA), and SageMaker for model training/inference.

Requirements:

  • Proven experience successfully driving small to medium (S/M) initiatives (Project/Squad/Product).
  • Demonstrated experience acting as a technical mentor and sharing knowledge through speeches and organised events.

Technical Skills:

  • Frontend: React, TypeScript, CloudFront.
  • Backend: FastAPI (Python), AWS Lambda, API Gateway (REST + WebSocket), Cognito.
  • Search and Storage: OpenSearch, DynamoDB, Aurora PostgreSQL, S3 Athena.
  • GenAI and RAG: LangChain, FAISS, Pinecone, OpenAI, Claude, AWS Bedrock.
  • Data Engineering: AWS Glue, Airflow (MWAA).
  • DevOps: GitHub Actions, CloudFormation/CDK, IAM Roles.
  • Streaming and Real-time: WebSockets, LLM streaming pipelines.
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