Senior/Lead/Principal Software Engineer, Agentforce Operations

Salesforce; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Benefits and resources to support balance and growth

Opportunities to work with AI technology

Job summary

Salesforce is looking for a Senior Backend Engineer to drive technical direction and deliver high-quality code for its AI-driven Supply Chain project. This role involves scaling the Agentforce backend solutions and integrating with associated technologies. Ideal candidates will possess deep experience in backend engineering with proficiency in Java or Python, and a solid grounding in data systems. Join Salesforce in Seattle to make a significant impact through innovation and AI tools.

Qualifications

• 3+ years experience in backend engineering focused on large-scale applications.
• Deep expertise in data modeling and API design.
• Proficiency in modern programming languages like Java, Python, or Go.

Responsibilities

• Architect and implement backend solutions for Salesforce Supply Chain.
• Drive technical decision-making and project execution.
• Mentor junior engineers on performance and scalability.

Skills

Backend engineering experience

Deep expertise in data modeling

Proficiency in Java, Python, or Go

Experience with REST APIs

Strong communication skills

AI development tools usage

Education

Related technical degree

B.S. in Computer Science (M.S. preferred)

Tools

Mulesoft

PostgreSQL

Docker

Kubernetes

Job description

Overview

Job Category: Software Engineering

Salesforce is the #1 AI CRM, focused on AI and innovation with core values at the heart of the work. We are seeking Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's values in focus. This role supports Agentforce for Supply Chain and involves back-end engineering work on the Super Agent and Integration & Platform teams.

The Teams

The Super Agent backend is the operational heart of Agentforce for Supply Chain, managing complex, configurable state and interfaces across the platform. The Integration & Platform team owns the data and integration backbone, connecting the platform to the Salesforce ecosystem (including Mulesoft, Flow, and Data Cloud) and powering self-serve data synchronization.

What You\'ll Do

We are seeking senior-level engineers to act as key individual contributors across the Super Agent and Integration & Platform teams. You will own the hardest cross-cutting system problems, set technical direction, and drive foundational investments to scale Agentforce for Supply Chain.

Super Agent

• Diagnose and prioritize foundational investments across the back end, coordinating with engineering leadership to sequence them against product delivery
• Own the hardest cross-cutting system problems, including architectural decomposition and cross-team interface design, with hands-on work when needed
• Build shared understanding of system health and risk, establishing observability and decision-making frameworks
• Maintain engineering quality through pragmatic standards, guardrails, and practices to prevent regressions and keep code healthy

Integration & Platform

• Architect and implement integrations between the core platform and Salesforce ecosystem products (Mulesoft and Flow)
• Lead scalable data export pipelines, integrating internal data sources with Data Cloud and/or Informatica
• Improve ETL/ELT pipelines to support daily, self-serve data synchronization with minimal ongoing engineering effort
• Design and build simplified, performant APIs and webhooks, including abstracted high-value functionality currently exposed via GraphQL endpoints

Shared Responsibilities

• Architect and deliver high-quality, scalable code for complex data integration and platform features
• Drive technical decision-making and project execution as a primary contributor for key initiatives
• Mentor engineers on performance, security, and scalability; conduct code reviews
• Collaborate with Product Management and other engineering teams to define requirements and deliver solutions
• Build production-grade software using modern engineering practices, with AI as a core part of development
• Design systems where AI agents integrate into human workflows
• Contribute to a shared repository of system designs, constraints, and standards for reliable AI operation
• Evaluate code (human or AI-generated) for correctness, quality, security, and performance
• Mentor engineers to raise judgment and performance of the team

Long-Term Strategic Impact

• Set technical direction and standards for data integration and backend architecture
• Identify and mitigate architectural risks as data infrastructure scales
• Drive continuous improvement in system performance, observability, and operational efficiency

Required Qualifications

• 3+ years: Backend engineer (Senior), 5+ years (Lead), 8+ years (Principal) with experience in large-scale, user-facing web applications and/or data systems
• Related technical degree required
• Deep expertise in data modeling, DB performance, state management, API design, transactions, concurrency, fault tolerance, and scaling
• Experience designing, building, and maintaining production-grade data pipelines (ETL/ELT)
• Proficiency in a modern programming language (e.g., Java, Python, Go)
• Experience designing robust external-facing REST APIs and Webhooks
• Knowledge of distributed systems, high-availability architectures, event queues, and asynchronous processing
• Track record of diagnosing architectural problems and driving improvements
• Experience designing interfaces and boundaries between teams and systems
• Experience in a lead technical role (LMTS/PMTS or equivalent) driving complex projects as an individual contributor
• Excellent written and verbal communication for technical design discussions
• Experience aligning with Product Managers and Engineers to shape requirements and tradeoffs
• Demonstrated ownership, high standards, and low-ego collaboration
• Genuine AI-first approach to engineering and using AI tools in development
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) in development workflows
• Advanced prompt engineering skills for precise, structured prompts and reliable AI outputs

Preferred Qualifications

• B.S. in Computer Science (M.S. preferred)
• Mastery of Golang, GraphQL, and PostgreSQL
• Hands-on experience with Salesforce integration technologies (Mulesoft or Salesforce Data Cloud)
• Experience with large-scale event streaming platforms (e.g., Kafka, Kinesis)
• Familiarity with Docker, Kubernetes
• Experience with GraphQL API implementations
• Experience with workflow engines
• Exposure to supply chain, logistics, or manufacturing industry
• Experience balancing early-stage ambiguity with reliability and maintainability in evolving systems
• Notable open-source contributions or research
• Familiarity with the Salesforce platform

Unleash Your Potential

We offer benefits and resources to support balance and growth. Our AI agents accelerate your impact. Apply to help shape the future for yourself, AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or recruiting process, submit a request via the Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer. We are committed to non-discrimination and merit-based decisions. We consider qualified applicants with arrest and conviction records where allowed by law. Salaries reflect location and other factors. The typical base salary range is provided, with variations by city.