Senior Engineer Full Stack & Data Engineering

Job Title: Senior Engineer – Full Stack & Data Engineering

Location: Bengaluru / Hyderabad preferable in office or remote for valid reasons

Experience: 4–6 years

We are looking for a hands-on Senior Engineer with solid experience in full-stack development and data engineering ecosystems. The ideal candidate will be a strong individual contributor who takes ownership of feature development, actively collaborates with the Technical Lead, and delivers high-quality, scalable solutions. This role requires technical depth, a problem-solving mindset, and the ability to work independently on complex modules while supporting peers in the team.

• Own end-to-end development of features across backend, frontend, and data engineering
• Build production-grade code with a focus on quality, performance, and maintainability
• Develop POCs and prototypes to validate technical approaches
• Participate actively in debugging, troubleshooting, and production issue resolution

• Deliver assigned tasks and modules on time, meeting defined SLAs and engineering standards
• Proactively raise blockers and risks to the Technical Lead
• Write clean, well-documented, and testable code
• Participate in and respond constructively to PR reviews

• Contribute to Low-Level Design (LLD) of modules and features
• Design database schemas, API contracts, and data pipeline components
• Collaborate with the Tech Lead on system design discussions and decisions

• Adhere to coding standards, design patterns, and team conventions
• Write unit and integration tests to ensure code reliability
• Participate in peer code reviews and provide constructive feedback

• Work closely with the Technical Lead, QA, and cross-functional teams
• Translate user stories and technical specs into working solutions
• Actively participate in sprint planning, standups, and retrospectives

• Hands-on experience integrating LLMs and Generative AI capabilities into enterprise applications
• Strong understanding of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search concepts
• Experience working with AI platforms and services such as Azure OpenAI, OpenAI APIs, Anthropic Claude, or similar models
• Familiarity with prompt engineering, model evaluation, grounding techniques, and hallucination mitigation strategies
• Experience building scalable AI pipelines using frameworks such as LangChain, LlamaIndex, or equivalent orchestration frameworks

• Solid experience in Node.js for building scalable, production-ready APIs
• Good understanding of RESTful and event-driven architectural patterns

• Hands-on experience with React.js
• Familiarity with modern UI/UX practices and frontend performance optimization

• Working experience with:
• Elasticsearch (ES) – querying, indexing, and performance tuning
• MongoDB (Cosmos DB) – schema design and CRUD operations
• Azure SQL DB – writing optimized queries and working with relational schemas

• Exposure to or working knowledge of:
• Azure Data Factory (ADF) – building and managing data pipelines
• Azure Databricks (ADB) – data transformations using Spark

• Basic understanding of:
• Microservices architecture and distributed systems
• Data pipelines and integration patterns
• Caching, indexing, and query optimization techniques

• Strong analytical and problem-solving skills
• Good communication and ability to collaborate in a team environment
• Self-driven with a sense of ownership over assigned work
• Eagerness to learn and adapt in a fast-paced environment

• Exposure to observability or monitoring tools
• Familiarity with Azure cloud services
• Experience with CI/CD pipelines and DevOps practices
• Basic knowledge of streaming architectures (Kafka / Event Hub)

• Features and modules delivered independently, on time, and to quality standards
• Minimal rework due to bugs or design gaps
• Active, constructive participation in code reviews and team discussions
• Growing ability to take on complex modules with reduced guidance over