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Sr. Full Stack Developer

Exclusive opportunity

Onsite

Sr. Full Stack Developer

Mphasis

Sr. Full Stack Developer

Skills

MongoDBDockerNestReactNodeTypescriptPythonExpressMachine LearningAIAWSKubernetesTerraformAzure

10 days ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

10 October 2026

What they need


What You Need To Have

  • Minimum 6+ years professional experience building applications.
  • Strong proficiency in React (TypeScript preferred). Familiarity with Vue or Angular acceptable.
  • Strong server-side experience with Node.js (NestJS or Express). TypeScript experience strongly preferred.
  • Practical experience with MongoDB (or other document DBs) and data modeling.
  • Familiarity with Python for scripting or ML integration.
  • Solid understanding of RESTful APIs and web security best practices.
  • Experience with containerization (Docker) and CI/CD pipelines.
  • Familiarity with cloud deployments (AWS preferred/Azure) and basic infra-as-code (Terraform/CloudFormation) concepts.
  • Familiarity with prompt engineering and integrating LLMs into applications.
  • Copilot Application Developer to design, build, and deploy intelligent, AI-powered applications. The ideal candidate will bridge the gap between business needs and advanced AI by leveraging Microsoft Copilot Studio
  • Hands-on problem solver with strong communication skills and ability to own features end-to-end.

Good to have skills

  • Production experience with Kubernetes, AWS services (S3, Lambdas, SQS, IAM), or equivalent cloud tooling.
  • Experience with document ingestion pipelines and unstructured data storage (PDF/text ingestion, OCR, parsing).
  • Experience building Retrieval-Augmented Generation (RAG) solutions and using vector databases (Pinecone, Milvus, Weaviate, FAISS).
  • Experience deploying and monitoring LLM-based features: model selection, cost control, rate limiting, caching, observability.
  • Familiarity with LLM frameworks/APIs (OpenAI, Anthropic, Llama-family) and embeddings workflows.
  • Strong understanding of cloud-native architectures, observability (logs/metrics/tracing), reliability, and cost optimization.

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