NOIDA · FULLTIME
Lead II, Software Development/Engineering
S&P Global Market Intelligence
Noida · onsite · Posted 56d ago
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Undisclosed13–16 yrsfulltimeNoida
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Section · 01
About this role
Job Summary
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.
Responsibilities - 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)
- 1316 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)
- 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
- Messaging: JMS, Apache Kafka
- 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)
- Add-on: Agentic AI frameworks, skill files, MCP, Graph data modelling, RDF / Knowledge graph.
- 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
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Section · 02
Skills
SDLCGraphQLSoftware EngineerDockerKubernetesGithubPostgresqlNoSQLApache Kafkagoogle cloud platformamazon web servicesLarge Language Models (LLMs)PythonJavascriptMongoDBReact.JsSQLJavaArchitectureFull StackAngularjsMicroservicesSoftware DevelopmentMicrosoft AzureSQL ServerArtificial Intelligence