Senior Full-Stack Developer - Salesforce Agentforce Platform

Senior Analyst - Agentforce

Job Description Summary

We are looking for a Senior Analyst to design, develop, and maintain full-stack web applications on AWS while contributing to AI agent development on the Salesforce Agentforce platform. The primary focus is building Agentforce agent facing backend services, frontend interfaces, data pipelines, and API integrations that support marketing cloud intelligence use cases. The candidate should be comfortable using AI-assisted development tools and have basic familiarity with Salesforce development.

Job Description

Key Responsibilities

Location – Hyderabad #LI Hybrid

• Build and maintain backend APIs and services using Python (Django preferred) 

• Develop responsive frontend interfaces using React or similar JavaScript frameworks 

• Design and manage data pipelines for ingestion, transformation, and analytics 

• Implement caching, session management, and real-time data patterns using Redis 

• Deploy and operate services on AWS (ECS/Fargate, Lambda, S3, RDS, SQS, CloudWatch) 

• Set up and maintain CI/CD pipelines, containerized deployments, and infrastructure as code 

• Write automated tests and maintain code quality standards 

• Use AI coding tools to accelerate development while ensuring correctness and security 

• Support the design and configuration of Agentforce agents including sub-agents, actions, and instructions 

• Assist in building integrations between Agentforce agents and enterprise systems using REST APIs and Platform Events . Document systems, APIs, and agent configurations 

 

Essential Requirements:

• 4+ years of experience in full-stack application development. Strong proficiency in Python and JavaScript . Experience with Django framework 

• Familiarity with React or similar frontend frameworks . Hands-on experience with Redis for caching, queuing, or pub/sub patterns 

• Working knowledge of AWS core services (compute, storage, database, messaging, security) 

• Experience with relational databases (PostgreSQL preferred) and SQL  .Familiarity with Docker, Git, CI/CD pipelines, and infrastructure as code (Terraform or CDK) 

• Comfort using AI-assisted coding tools in day-to-day work 

• Experience with asynchronous job processing (Celery, SQS, Step Functions) .Strong problem-solving, debugging, and communication skills 

• Exposure to Salesforce Agentforce, Einstein AI features, or prompt engineering concepts 

• Familiarity with LLM integration patterns (prompting, tool calling, RAG) .

Desirable Requirements:

• Observability and monitoring best practices (logging, tracing, alerting) . Experience in regulated industries (pharma, healthcare) 

• Salesforce certifications (Platform Developer I/II, AI Associate, AI Specialist) are a plus .

• Salesforce Agentforce, Einstein AI, prompt engineering, Strong proficiency in Python,  AWS CDK and components, serverless or containerized deployment patterns, experience in deploying large scale applications on AWS

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Commitment to Diversity and Inclusion:  
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.  

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: 
https://talentnetwork.novartis.com/network

Skills Desired

Advertising Campaigns, Alteryx, Analytical Thinking, Brand Awareness, Business Networking, Curiosity, Digital Marketing, Marketing Communications, Marketing Plans, Marketing Strategy, Media Campaigns, Process Documentation, Statistical Analysis, Strategic Marketing

Experience Level

Senior Level