S2 Senior Engr - Full Stack

Cognizant; Kolkata District; Hybrid; INR 1,800,000 - 3,800,000; Full time

Job summary

Cognizant in Kolkata is seeking a senior full stack engineer to design and implement advanced data models and vector database solutions using Milvus Pinecone and Neo4J to power scalable analytics applications. The role requires 11+ years of experience and a track record building secure APIs, efficient data storage and intuitive UIs, while aligning with enterprise standards.

The position offers hybrid work with global collaboration, emphasizing production-grade services, observability, and

Qualifications

• Show proven experience of more than eleven years in full stack engineering delivering production grade web applications with strong proficiency in both backend and frontend technologies.
• Proven 11+ years in full stack engineering with backend/frontend and vector databases.
• Experience designing/operating graph solutions with Neo4J, modeling nodes/relationships and queries.
• Deep knowledge of data models (conceptual, logical, physical) mapped to vector and graph storage.
• Strong API design for secure, performant services integrating multiple data sources.
• Familiar with cloud-native practices: containers, CI/CD, testing, observability in hybrid deployments.
• Collaborates with product analytics and operations with clear communication.
• Experience working day shifts with global teams in remote/on-site collaboration.
• Practices data privacy, fairness and sustainability in design.

Responsibilities

• Design and implement scalable full‑stack apps integrating Milvus, Pinecone and Neo4J for enterprise users.
• Develop robust backend services and APIs to optimize data retrieval from complex models and graphs.
• Create secure, responsive UIs for data exploration and vector search/graph insights.
• Optimize data models with vector representations, schema design and index strategies.
• Collaborate with data science to translate models into production-grade services.
• Implement monitoring, logging and alerting for vector DBs and Neo4J.
• Ensure secure coding and data protection to reduce risk.
• Lead code reviews for performance and clarity.
• Troubleshoot production issues in data integrity and query performance.
• Document architecture decisions and data models for onboarding.
• Coordinate with product management to prioritize backlogs.
• Evaluate new tools to align with long-term platform strategy.
• Guide teams on testing, deployment and config in hybrid environments.

Skills

Full stack engineering

Backend development

Frontend development

Secure coding

Cloud native / CI/CD

Tools

Milvus

Pinecone

Neo4J

Job description

Job Summary

This hybrid senior full stack engineering role focuses on designing and implementing advanced data models and vector database solutions using platforms such as Milvus Pinecone and Neo4J to support scalable intelligent applications. The candidate will apply at least eleven years of experience to build robust services and interfaces that power enterprise grade analytics and retrieval systems during a standard day shift with no travel requirements while driving measurable value for business stake

Responsibilities

• Design and implement highly scalable full stack applications that integrate vector databases including Milvus Pinecone and Neo4J to support intelligent data intensive features for enterprise users and internal teams within a hybrid work model.


• Develop robust backend services and application programming interfaces that optimize data retrieval from complex data models and graph structures ensuring low latency high reliability and clear observability across environments.


• Create intuitive secure and responsive user interfaces that expose advanced data exploration and insight capabilities enabling business users to interact with underlying vector search functions and graph relationships effectively.


• Optimize data models for performance relevance scoring and storage efficiency by applying deep expertise in vector representations schema design and index strategies tailored to evolving business use cases.


• Collaborate with data science and analytics stakeholders to translate conceptual data models and algorithmic requirements into production grade services and workflows that are easy to maintain and extend.


• Implement comprehensive monitoring logging and alerting for full stack components that depend on vector databases and Neo4J so that issues can be detected quickly and resolved before affecting customer or internal operations.


• Ensure adherence to secure coding practices and data protection standards when handling sensitive information within vector databases and graph stores thereby reducing operational and compliance risk.


• Conduct detailed code reviews and technical walkthroughs focused on performance correctness and clarity for solutions built on Milvus Pinecone and Neo4J encouraging high quality implementation across the engineering group.


• Troubleshoot complex production issues related to data integrity query performance and integration behavior by performing root cause analysis and applying sustainable fixes and optimizations.


• Document architectural decisions data model designs and integration patterns in clear and accessible formats so that future enhancements and onboarding activities are streamlined for other contributors.


• Coordinate with product management and operations to prioritize backlog items that improve full stack stability scalability and user value especially for features driven by advanced data models and vector search.


• Evaluate and introduce new tools frameworks or patterns that complement existing vector database and graph solutions ensuring that technology decisions stay aligned with long term platform strategy.


• Guide peers in adopting best practices for testing deployment and configuration management in hybrid environments so that full stack systems remain consistent resilient and easy to evolve over time.

Qualifications

• Show proven experience of more than eleven years in full stack engineering delivering production grade web applications with strong proficiency in both backend and frontend technologies.


• Demonstrate expert level understanding of vector databases with direct hands on implementation using Milvus and Pinecone in scenarios involving semantic search recommendation and high dimensional data processing.


• Exhibit practical experience designing and operating graph based solutions with Neo4J including modeling nodes relationships queries and performance tuning for connected data problems.


• Display deep knowledge of data models covering conceptual logical and physical designs and the ability to map these models effectively to vector and graph storage technologies.


• Possess strong skills in building secure and performant application programming interfaces and services integrating multiple data sources while maintaining clear separation of concerns.


• Bring familiarity with modern cloud native development practices including containerization continuous integration testing automation and observability in hybrid deployment setups.


• Show aptitude for collaborating with cross functional partners in product analytics and operations functions using clear communication to translate technical constraints into practical options.


• Demonstrate experience working in day shift schedules with global teams through remote and on site collaboration modes while maintaining responsiveness and reliability.


• Value inclusive and ethical engineering practices that consider data privacy fairness and long term sustainability and reflect these principles in solution design and implementation.

Certifications Required

Recommended certifications include Neo4J Certified Professional and vendor neutral cloud architect or full stack developer credentials relevant to scalable data intensive systems.