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

Job Description

Salesforce is hiring a Member of Technical Staff (MTS) — Full Stack + AI in Bangalore (Office — Flexible). You'll build scalable, intelligent systems that leverage cutting-edge AI capabilities while maintaining robust backend and frontend applications, as 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: - 2–5 years of professional software development experience. - Solid experience with Node.js backend development. - Strong proficiency in React.js for frontend development. - Working knowledge of cloud platforms (AWS, Azure or GCP). - 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 Git, CI/CD, testing and containerization (Docker/Kubernetes). - Bachelor's degree in Computer Science, Engineering or a related field (or equivalent experience). 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 covered: React, JavaScript/TypeScript, HTML5, CSS3, modern UI frameworks; Node.js, Spring Boot, FastAPI/Django, REST/GraphQL; Claude API, Gemini, LangChain, MCP servers; PostgreSQL, MySQL, MongoDB, Redis, vector DBs; AWS/Azure/GCP, Docker, Kubernetes, CI/CD, serverless. Note: Posting closes June 2, 2026. Salesforce uses AI tools to help assess and evaluate candidates' resumes — humans always make hiring decisions.

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