Principal Backend Software Development Engineer, Agentforce for Supply Chain

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword – it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Key Focus Areas Platform Integration: Architecting and implementing powerful integrations between our core platform and Salesforce ecosystem products, specifically Mulesoft and Flow. Data Export & Scale: Leading design and implementation of highly scalable, efficient, and reliable data export pipelines, integrating internal data sources (CSV files, REST API outputs) with Salesforce Data Cloud and/or Informatica. ETL Automation & Reliability: Optimizing our existing ETL pipeline infrastructure to support a daily, self‑serve customer data synchronization mechanism with Data Cloud. Customer API Abstraction: Designing and building simplified, performant, customer‑facing APIs and webhooks, creating an abstracted version of high‑value functionality currently exposed via complex GraphQL endpoints. Distributed Systems Expertise: Deep understanding and practical experience with event queues, asynchronous task processing, and designing highly available, geographically distributed systems. Responsibilities Architect, design, and deliver high-quality, scalable code for complex data integration and platform features. Drive technical decision‑making and project execution as the primary individual contributor for integration initiatives. Conduct thorough code reviews and mentor other engineers on best practices for performance, security, and scalability. Collaborate cross‑functionally with Product Management and other engineering teams to define requirements and deliver solutions that meet business needs. Build and ship production‑grade software using modern engineering practices, with AI as a core part of your development workflow. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (human or AI‑generated) for correctness, quality, security, and performance. Set the technical direction and standards for all data integration and ETL processes within the platform. Identify and mitigate architectural risks associated with scaling our data infrastructure to support exponential customer growth. Drive continuous improvement in system performance, observability, and operational efficiency. Experience Gained The candidate will gain unparalleled experience leading the transformation of mission‑critical data systems at enterprise scale, directly influencing the architecture of Salesforce’s next‑generation integration platform utilizing tools like Mulesoft and Data Cloud. Impact Made This role is critical to enabling customer success by ensuring a reliable, performant, and autonomous data sync experience. The work directly forms the foundational data layer powering core customer intelligence and platform functionality. You’re Our Person If… 8+ years of professional software development experience, with a significant focus on large‑scale data systems, ETL, or integration platforms. A related technical degree required. Demonstrated expertise in designing, building, and maintaining production‑grade data pipelines (ETL/ELT). Expert‑level proficiency in at least one modern programming language (e.g., Java, Python, Go). Proven experience designing and implementing robust, external‑facing REST APIs and Webhooks. Deep practical knowledge of building and operating distributed systems, concurrency, and high‑availability architectures. Experience in a lead technical role (LMTS/PMTS level or equivalent), driving and owning complex projects as an individual contributor. Excellent written and verbal communication skills. A demonstrated, genuine AI‑first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty. Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows. Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production‑ready. Even Better If… Hands‑on experience with Salesforce integration technologies such as Mulesoft or Salesforce Data Cloud. Experience working with large‑scale event streaming platforms (e.g., Kafka, Kinesis). Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience designing or working with GraphQL API implementations. Advanced degree in Computer Science or a related technical field. Published works including contributions to open‑source projects, patents, or papers. Exposure to the supply chain, logistics, or manufacturing industry. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Accommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Posting Statement Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in creating an inclusive workplace that is free from discrimination. Employees and candidates are assessed on the basis of merit, competence, and qualifications, without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or any other classification protected by law. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, performance assessment, discipline, termination, and all other employment actions. Benefits Salesforce offers a variety of benefits to help you live well: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. For more details, visit Salary The typical base salary range for this position is $197,300 – $313,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity, or benefits, as applicable. #J-18808-Ljbffr