Job Description

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)