Senior/Lead/Principal Software Engineer, Agentforce Operations

salesforce.com, inc.; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Time off

Health benefits (medical/dental/vision

Parental leave

Life and disability insurance

401(k)

Employee stock purchase program

Mental health support

Job summary

Salesforce is seeking experienced backend engineers to contribute across the Super Agent and Integration & Platform teams within Agentforce Operations. The role focuses on owning cross-cutting system problems, setting technical direction, and driving investments to scale AI-powered workflows.

You will work on reliable, observable, enterprise-grade backends and data pipelines in a fast-paced environment. Candidates should have extensive backend experience, knowledge of distributed systems, API

Qualifications

• 3+ years at Senior, 5+ years as Lead, 8+ years as Principal backend engineering.
• Related technical degree required.
• Deep expertise in data modeling, DB performance, state management, API design, transactions, concurrency, fault tolerance, and scaling.
• Experience designing and maintaining production-grade data pipelines (ETL/ELT) and external REST APIs/webhooks.
• Proficient in at least one modern language (Java, Python, Go).
• Knowledge of distributed systems, high availability architectures, event queues, and asynchronous processing.
• Strong ability to diagnose architectural problems, prioritize investments, and drive improvements.
• Experience designing interfaces between teams and systems; prior lead technical role and ownership as an IC.

Responsibilities

• Work as a Senior, Lead, or Principal Engineer across the Super Agent and Integration & Platform teams to own cross-cutting system problems and set technical direction.
• Participate in architectural decomposition, cross-team interface design, and hands-on work when needed to address complex issues.
• Improve system health, risk visibility, and investment decisions through observability and engineering excellence.
• Raise the engineering quality bar by enforcing pragmatic standards, guardrails, and sustainable practices.

Skills

Backend engineering

Distributed systems

API design

Data pipelines

Java / Python / Go

Observability

Leadership

Education

Related technical degree

Tools

Docker

Kubernetes

GraphQL

PostgreSQL

Mulesoft

Data Cloud

Job description

Overview

Salesforce is seeking experienced backend engineers to contribute across the Super Agent and Integration & Platform teams within Agentforce Operations. The role involves owning hard, cross-cutting system problems, setting technical direction, and driving foundational investments to scale Agentforce Operations. The team focuses on AI-powered design, automation, and end-to-end business processes with emphasis on reliability, observability, and enterprise-scale implementation.

About Salesforce: Salesforce is the #1 AI CRM, driving customer success with a focus on trust, innovation, and core values. Agentforce is positioned to transform supply chain workflows with AI-powered capabilities that connect back-office and front-office processes.

What You’ll Actually Be Doing

• Work as a Senior, Lead, or Principal Engineer across the Super Agent and Integration & Platform teams to own the most challenging cross-cutting system problems and set technical direction.
• Participate in architectural decomposition, cross-team interface design, and hands-on work when needed to address complex issues.
• Improve system health, risk visibility, and investment decisions through observability and engineering excellence.
• Raise the engineering quality bar by enforcing pragmatic standards, guardrails, and sustainable practices.

Responsibilities by Team

• Super Agent: Diagnose and prioritize foundational investments, decompose architectures, design interfaces, and contribute to high-impact backend work.
• Integration & Platform: Architect and implement integrations with Salesforce ecosystem products (Mulesoft, Flow); design scalable data export pipelines; optimize ETL for daily data synchronization with Data Cloud; build robust APIs and webhooks.
• Shared Responsibilities: Deliver high-quality, scalable code; drive technical decisions as a primary contributor; mentor engineers; collaborate with Product Management; design systems where AI agents integrate with human workflows; maintain system context and ensure security, performance, and reliability.
• Long-Term Strategic Impact: Set standards for data integration and backend architecture; mitigate architectural risks; drive continuous performance and observability improvements.

Qualifications

• 3+ years (Senior), 5+ years (Lead), 8+ years (Principal) of backend engineering experience building large-scale web applications and data systems.
• Related technical degree required.
• Deep expertise in data modeling, database performance, state management, API design, transactions, concurrency, fault tolerance, and scaling.
• Experience designing and maintaining production-grade data pipelines (ETL/ELT) and external REST APIs/webhooks.
• Proficient in at least one modern language (e.g., Java, Python, Go) suitable for platform development.
• Knowledge of distributed systems, high availability architectures, event queues, and asynchronous processing.
• Strong ability to diagnose architectural problems, prioritize investments, and drive measurable improvements.
• Experience designing interfaces between teams and systems; prior lead technical role and ownership of complex projects as an individual contributor.
• Excellent communication and ability to lead technical discussions; collaboration with Product Management and engineering teams to shape requirements.
• Demonstrated ownership, accountability, and AI-first approach to engineering; experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) in development workflows.
• Advanced prompt engineering skills and ability to craft structured prompts to produce reliable, secure, production-ready AI outputs.

Desirable (Even Better If)

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

Compensation and Benefits

Salesforce notes that compensation varies by location, level, and experience. The typical base salary range is listed with regional variations. Benefits include time off, medical/dental/vision, mental health support, parental leave, life and disability insurance, 401(k), and an employee stock purchase program. Details are provided with job postings and company resources.

Posting and privacy: Salesforce is an equal opportunity employer; candidates are evaluated on merit and qualifications. The company may use AI tools in the recruiting process; humans retain final hiring decision rights. See the Candidate Privacy Statement for more information about data usage and opt-out options.