Engineer

TATA Consulting Services•San Jose, CA

50d•$64,000 - $150,000

About The Position

Design, develop, and maintain full stack applications using modern frameworks and tools. Build and optimize database solutions across MySQL, PostgreSQL, Redis, Cassandra and MongoDB for high performance and scalability. Develop RESTful and GraphQL APIs to support web and AI-based applications. Collaborate with AI/ML teams to integrate models, embeddings, and vector-based data stores into backend systems. Implement caching, indexing, and replication strategies for optimal data retrieval and availability. Ensure secure, efficient, and maintainable application code using best practices and design patterns. Contribute to DevOps pipelines for CI/CD, testing, and deployment automation. Troubleshoot performance and data integrity issues across application layers. Work collaboratively with cross-functional teams including data engineers, AI developers, and product managers. MongoDB Atlas skills

Requirements

Frontend: React.js, Angular, or Vue.js (HTML, CSS, JavaScript/TypeScript).
Backend: Node.js, Python (Flask/Django/FastAPI), or Java/Spring Boot.
Databases: Strong expertise in MySQL and PostgreSQL (schema design, stored procedures, query optimization). Hands-on experience with Redis (caching, pub/sub, key-value stores).
Deep knowledge of MongoDB (schema modeling, aggregation pipelines, replication).
Strong understanding of API design, microservices architecture, and authentication/authorization frameworks.
Familiarity with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
Proficiency with Git/GitHub/GitLab for version control and collaborative development.
Solid problem-solving, debugging, and communication skills.
MongoDB Atlas skills

Responsibilities

Design, develop, and maintain full stack applications using modern frameworks and tools.
Build and optimize database solutions across MySQL, PostgreSQL, Redis, Cassandra and MongoDB for high performance and scalability.
Develop RESTful and GraphQL APIs to support web and AI-based applications.
Collaborate with AI/ML teams to integrate models, embeddings, and vector-based data stores into backend systems.
Implement caching, indexing, and replication strategies for optimal data retrieval and availability.
Ensure secure, efficient, and maintainable application code using best practices and design patterns.
Contribute to DevOps pipelines for CI/CD, testing, and deployment automation.
Troubleshoot performance and data integrity issues across application layers.
Work collaboratively with cross-functional teams including data engineers, AI developers, and product managers.

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