Description

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Member of Technical Staff (MTS) — Full Stack & AI (Node.Js, React Js, AWS)

Engineering | India | Full-Time

About the Role

We are looking for a talented Member of Technical Staff (MTS) to join our Engineering team. In this role, you will build scalable, intelligent systems that leverage cutting-edge AI capabilities while maintaining robust backend and frontend applications. You will be part of a collaborative, innovation-driven team pushing the boundaries of full-stack development and AI/ML integration.

What You'll Be Doing

Design, develop, and maintain full-stack applications using modern frameworks and best practices
Build and optimize microservices architectures for scalability and performance
Integrate AI/ML capabilities into production systems, including LLM-based agents and AI workflows
Develop RESTful APIs and backend services using Java, Python, and Node.js
Create responsive, performant frontend applications using React.js
Design and optimize database schemas and queries for high-performance applications
Collaborate with cross-functional teams to deliver end-to-end technical solutions
Participate in code reviews, architectural discussions, and technical planning
Troubleshoot and resolve complex technical issues across the stack

Minimum Qualifications

Solid experience with Node.js backend development
Strong proficiency in React.js for frontend development
2–5 years of professional software development experience
Working knowledge of cloud platforms (AWS, Azure, or GCP)
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
Proficiency in Java and/or Python for backend services
Hands-on experience building and deploying microservices architectures
Strong understanding of relational and NoSQL databases (design, optimization, and querying)
Understanding of AI/ML fundamentals and practical experience integrating AI into applications
Familiarity with AI agents, LLMs (Claude, Gemini, GPT), and MCP (Model Context Protocol) servers
Experience with modern development practices: Git, CI/CD, testing, and containerization (Docker/Kubernetes)

Preferred Qualifications

Experience with prompt engineering and AI agent orchestration
Knowledge of vector databases and RAG (Retrieval-Augmented Generation) architectures
Experience with serverless architectures and cloud-native development
Familiarity with infrastructure as code (Terraform, CloudFormation)
Understanding of system design and distributed systems concepts
Experience with monitoring, observability, and production debugging
Open source contributions or technical writing/speaking experience

Technical Skills

Frontend: React.js, JavaScript/TypeScript, HTML5, CSS3, modern UI frameworks
Backend: Node.js, Java (Spring Boot), Python (FastAPI/Django), REST/GraphQL APIs
AI/ML: Claude API, Gemini AI, LangChain, agent frameworks, MCP servers, prompt engineering
Architecture: Microservices, event-driven systems, API design, distributed systems
Databases: PostgreSQL, MySQL, MongoDB, Redis, vector databases
Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, CI/CD pipelines, serverless
Tools: Git, Linux, monitoring/logging tools, testing frameworks

Benefits & Perks

Opportunity to work with cutting-edge AI technologies
Collaborative, innovation-driven engineering culture
Competitive compensation and benefits
Professional growth and learning opportunities

Salesforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees