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Job Category
Software Engineering
Job Details
About the Team
GUS is Salesforce's internal grand-unified system for agile work tracking — the platform thousands of Salesforce engineers use every day to plan, build, and ship. Built on the Core Platform, GUS combines agile tooling, planning, and reporting into a single system of record for engineering execution. Our team owns the backend services, platform integrations, and increasingly the AI-assisted developer tooling that make GUS fast, reliable, and intelligent.
As a member of the GUS engineering team, you will design and build backend services for our agile tooling, integrate GUS with the broader Salesforce ecosystem, and help pioneer AI-assisted developer workflows that raise the productivity of every engineer at the company. At Salesforce, we strive every day to earn customer trust by making our platform always fast, always secure (see trust.salesforce.com).
Responsibilities:
-Design, build, and operate backend services powering GUS agile tooling — work items, planning, sprints, and reporting.
-Build and maintain platform integrations connecting GUS with other Salesforce systems, APIs, and data pipelines.
-Develop AI-assisted developer tooling — agents, automation, and intelligent workflows — that improve how engineers interact with GUS.
-Own features end to end: design, implementation, testing, deployment, and production operation.
-Write high-quality, well-tested, maintainable code and raise the quality bar through code review.
-Partner with product managers, designers, and engineers across teams to translate requirements into reliable, scalable solutions.
-Diagnose and resolve production issues, root-cause them, and drive action plans that prevent recurrence.
-Mentor engineers, share knowledge, and contribute to the team's technical direction and standards.
Required Qualifications:
-BS or MS in Computer Science or equivalent practical experience.
3–5 years of professional software engineering experience building and operating production services at scale.
-Strong proficiency in a modern backend language (Java, Apex, or equivalent) and experience with large, complex codebases.
-Experience designing and consuming APIs and building integrations between systems.
-Solid grounding in data modeling, relational databases, and distributed-systems fundamentals.
-Demonstrated ability to own features end to end and deliver high-quality code in a fast-paced, agile environment.
-Strong analytical, troubleshooting, and communication skills.
Desired Skills:
-Experience with AI-assisted development tooling — LLM-backed agents, coding assistants, or automation — and a point of view on applying them to real engineering workflows.
-Experience building on or extending the Salesforce Platform (Apex, LWC, platform APIs).
-Familiarity with agile tooling and engineering-productivity systems.
-Experience with cloud-native technologies (Docker, Kubernetes) and CI/CD pipelines.
-Experience with observability and performance tooling (Splunk, Grafana, or equivalent).
-Ability to influence across teams and consult on design and architecture beyond your immediate scope.
-A track record of mentoring peers and elevating team practices.
Level Expectations (MTS / Grade 6) - An MTS is a fully independent engineer who:
-Delivers well-scoped features and components with minimal guidance.
-Makes sound design decisions within their area and understands the trade-offs.
-Collaborates effectively across their team and with adjacent teams.
-Takes ownership of quality, testing, and the operational health of what they build.
-Actively grows their technical breadth and contributes to the team beyond their own tasks.
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 andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
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