Senior Analyst

Description

• 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

Qualifications

• 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) .