Software Engineering SMTS
InformaticaResponsibilities
- Design and build production agent architectures using Agentforce Builder, Agent Script, and New Graph Architecture for systems serving 15,000+ users.
- Architect multi-node orchestration, sub-agent patterns, agentic workflows, memory systems, context management, and conversation state handling.
- Develop and optimize RAG patterns, retrieval strategies, prompt engineering, embeddings, semantic search, and agent knowledge bases.
- Build integrations with Salesforce Data Cloud, Einstein, MuleSoft, external APIs, MCP, and enterprise platforms.
- Implement content ingestion pipelines for structured and unstructured sources including PDFs, web content, and documents.
- Lead platform migrations while maintaining zero downtime for production systems.
- Implement observability, monitoring, debugging, testing, UAT, production deployments, and high-availability practices.
- Make technical decisions about agent design, scalability, performance, and architecture; contribute to roadmap planning and architecture reviews.
- Mentor junior engineers through code reviews, technical guidance, and knowledge sharing.
- Lead design discussions, implementation, delivery, and bi-weekly production release cycles.
Requirements
- 6+ years of software development experience with increasing technical complexity and scope.
- Strong backend development experience in Java, Python, C++, C#, or another object-oriented compiled, statically typed language.
- Deep knowledge of AI/ML frameworks and hands-on experience with large language models such as OpenAI, Anthropic, Claude, Gemini, or Llama.
- Experience building production LLM-based applications or agents, including prompt engineering and RAG architectures.
- Experience with conversational AI, chatbots, or agent development platforms; Agentforce experience is strongly preferred.
- Experience with AWS, GCP, Heroku, or comparable cloud infrastructure and scalable distributed-system architecture.
- Proficiency in data processing, vector databases, embeddings, semantic search, and retrieval optimization.
- Understanding of Salesforce technologies including Apex, LWC, Data Cloud, and Platform Events, or equivalent enterprise platforms.
- Experience with RESTful APIs, GraphQL, event-driven architectures, and microservices patterns.
- Bachelor’s or master’s degree in computer science, software engineering, or a related STEM field, with strong algorithms and data structures knowledge.
- Strong verbal and written communication skills and the ability to influence technical decisions across organizations.
- Strong test-driven development experience, including unit, integration, and end-to-end automation for AI systems.
- Ability to debug complex production issues, optimize performance, and resolve customer-impacting problems.
- Experience with Git, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, or Spinnaker.
- Track record of mentoring engineers and delivering large-scale features used by thousands of users.
- Preferred qualifications include Salesforce Agentforce or Agent Builder experience, agent orchestration and multi-agent systems, LLM fine-tuning and evaluation, Customer Zero programs, data engineering and ETL, Grafana or Datadog, and contributions to technical communities or open-source projects.
Benefits
- Salesforce offers time-off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- Certain roles may be eligible for incentive compensation, equity, and benefits.
- Salesforce provides reasonable accommodations during the application and recruiting process.
Tech Stack
Categories
About Informatica
Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, Informatica’s Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica’s platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by approximately 5,000 customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation. Informatica. Where data and AI come to life.™ Contact: PR@informatica.com