Principal Backend Software Development Engineer, Agentforce for Supply Chain
Core
Designing, building, and scaling the mission-critical data and integration backbone for an AI-powered supply chain platform.
Role type
Principal Member of Technical Staff (PMTS), hands-on IC
Builds
Scalable data ingestion/export pipelines, platform integrations (Mulesoft, Flow, Data Cloud), and simplified customer APIs
Domain
Enterprise software, AI agents, supply chain logistics
Deliverable
production ML models | product features | infrastructure
Required skills
Architecting large-scale data integration and ETL/ELT pipelines, designing distributed systems with event queues and async processing, building high-availability REST APIs and webhooks, deep expertise in Java/Python/Go, leading technical initiatives as an IC, advanced prompt engineering and AI tool usage in development workflows
Preferred skills
Salesforce ecosystem integration (Mulesoft, Data Cloud), large-scale event streaming (Kafka, Kinesis), containerization and orchestration (Docker, Kubernetes), GraphQL API design, supply chain/logistics industry experience
Technologies
Mulesoft, Flow, Salesforce Data Cloud, Informatica, Kafka, Kinesis, Docker, Kubernetes, GraphQL, Java, Python, Go
Responsibilities
Architect and deliver scalable code for complex data integration and platform features, drive technical decision-making for integration initiatives, conduct code reviews and mentor engineers on performance and security, collaborate cross-functionally to define requirements, design and orchestrate systems where AI agents integrate into human workflows, set technical direction and standards for data integration processes, identify and mitigate architectural risks for scaling data infrastructure
Seniority
Principal, hands-on IC
