Sr. Python Full stack Engineer

1 week ago

Hyderabad, Telangana, India TECHBLOCKS Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Position: Python Full stack Engineer

Experience: 8+ Years

No. Of Positions: 4

Location: Gurgaon / Gurugram

Responsibilities:

  • Deliver end-to-end features using modern Python stacks
  • Build and scale modern APIs (i.e., RESTFull, OData, GraphQL…), microservices, and event-driven architectures
  • Work with NoSQL and SQL databases (DocumentDB, MongoDB, Dynamo DB, MS SQL Server)
  • Embed GenAI and LLM capabilities (e.g., Copilot, Claude, AWS Bedrock, Azure OpenAI) into workflows and products
  • Drive AI-augmented development practices, including prompt engineering, LLM-assisted testing, and documentation automation
  • Participate in CI/CD improvements and observability (i.e., GitHub Actions, Datadog, Prometheus, Splunk, Azure DevOps Pipelines…)
  • Contribute to the evolution of our platform through innovations in cloud-native architecture, data contracts, and federated data systems
  • Collaborate with cross-functional teams (Product, UX, QA) to translate complex requirements into clean architecture
  • Apply SAST and SCA tools for early vulnerability detection and secure software practices.

Nice to Have

  • Experience with data contract standards and federated data tools (Trino, Starburst)
  • Experience with LLMs and NLP frameworks (LangChain, LlamaIndex, spaCy, Hugging Face Transformers, or other LLM orchestration libraries)
  • Exposure to Vibe Coding, hackathons, or innovation sprints within engineering teams
  • Certifications in cloud (AWS/GCP), secure coding, or AI/ML
  • Experience in Finance, Compliance, Loans
  • MCP Servers, RDF (Resource Description Framework), OWL (Web Ontology Language), SPARQL and SHACL (Shapes Constraint Language); FIBO/CDM ontologies; semantic graph DBs like Stardog
  • Prompt engineering & fine-tuning
  • Experience with agentic frameworks (LangChain, Semantic Kernel, CrewAI)
  • Experience in working with DSLs for rule engines (ANTLR, Lark)

Tech Stack & Tools

  • Languages: Python, JavaScript
  • Frontend: Angular / React
  • Cloud Platforms: AWS / Azure / GCP
  • DevOps & Infrastructure: Docker, Kubernetes, GitHub Actions, Terraform, CloudFormation
  • Data: DocumentDB, DynamoDB, MongoDB, SQL Server, MongoDB, Starburst, Apache Parquet/Iceberg
  • AI/GenAI: GitHub Copilot, Claude, CodeWhisperer, LLM APIs (OpenAI, Hugging Face, Bedrock)
  • Monitoring/Observability: Splunk, Datadog, Prometheus, CloudWatch
  • Architecture: Microservices, event-driven, serverless, secure development (OAuth, JWT)

What You Bring

  • 8–12 years of full-stack development experience in enterprise environments
  • Strong command of Python, DocumentDB, AWS Lambdas, and cloud-native serverless application development
  • Demonstrated experience with AI-enhanced developer tools and integrating LLM APIs
  • Strong experience in building automated unit testing framework
  • Strong problem-solving skills and a growth mindset toward AI-powered innovation
  • Experience mentoring teams and driving engineering best practices
  • Bachelor's degree in computer science or related field (or equivalent practical experience)

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