Senior Engineer, Software Development

2 weeks ago

Gurgaon, Haryana, India S&P Global Market Intelligence Full time ₹ 15,00,000 - ₹ 20,00,000 per year

About the Role

We are looking for a Senior Full Stack Software Engineer who thrives on building high-performance, scalable, and AI-augmented enterprise applications. This role demands strong backend engineering in Java, while delivering full-stack solutions with a strong emphasis on cloud-native development, microservices, and GenAI integration.

You will play a pivotal role in shaping the future of our software platformsowning platform evolution and embedding LLM-based tools to drive engineering velocity and quality.

What's in for you :

  • Deliver end-to-end features using modern Java stacks
  • Build and scale APIs (REST/GRPC, OData, GraphQL), microservices, and event-driven architectures
  • Design and deploy containerized applications using Docker and Kubernetes
  • Work across SQL and NoSQL databases (i.e., PostgreSQL, Oracle, MongoDB, Dynamo DB)
  • Embed GenAI and LLM capabilities (e.g., Github Copilot, Claude, AWS Bedrock, Azure OpenAI) into workflows and products
  • Drive AI-augmented development practices - prompt engineering, LLM-assisted testing, and documentation automation
  • Contribute to CI/CD and observability using GitHub Actions, Prometheus, Datadog, Splunk
  • Guide innovation in cloud-native, federated data architectures and data contracts
  • Advocate clean code, secure development practices, and modern SDLC (GitHub Advanced Security)

What are we looking for:

  • Experience with data contract standards and federated data tools (Trino, Starburst)
  • Exposure to LLM orchestration tools (LangChain, LlamaIndex)
  • Participation in hackathons, vibe coding, or internal innovation sprints
  • Certifications in AWS/GCP, secure coding, or AI/ML domains
  • Experience in Corporate Actions/Custody domain
  • Languages: Java, Python, JavaScript
  • Frontend: React Angular
  • Cloud Platforms: AWS Azure GCP
  • DevOps & Infrastructure: Docker, Kubernetes, GitHub Actions, Terraform, CloudFormation
  • Databases: PostgreSQL, Oracle, SQL Server, MongoDB, Starburst, Apache Parquet/Iceberg
  • AI/GenAI: GitHub Copilot, Claude, CodeWhisperer, LLM APIs (OpenAI, Hugging Face, Bedrock)
  • Monitoring: Splunk, Datadog, Prometheus
  • Architecture: Microservices, event-driven, serverless, secure development (OAuth, JWT)

Education and Experience:

  • 8-12 years of full-stack development experience in enterprise environments
  • Strong command of Java, and cloud-native application development
  • Demonstrated experience with AI-enhanced developer tools and integrating LLM APIs
  • Deep understanding of DevSecOps, scalable architecture, and performance tuning
  • Strong problem-solving skills and a growth mindset toward AI-powered innovation
  • Experience mentoring teams and driving engineering best practices
  • Bachelors degree in computer science or related field (or equivalent practical experience)
  • Work on cutting-edge AI-integrated platforms
  • Culture of innovation, open collaboration, and continuous learning
  • Drive impact at scale in mission-critical enterprise applications
  • Accelerate your growth with future-ready engineering practices

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