> Markdown version of [/jobs/ext/4564755-software-engineering-mts](https://www.wearedevelopers.com/jobs/ext/4564755-software-engineering-mts). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering MTS - **Company:** Salesforce Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $117,200.0 - $176,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Relational Databases, Salesforce.Com, Software Engineering, Systems Integration, Apex Code, Large Language Models, Grafana, Core Api, Backend, Containerization, Kubernetes, Information Technology, Enterprise Integration, Codebase, Splunk, Data Pipelines, Docker - **Published:** November 4, 2026 - **Apply:** https://www.themuse.com/jobs/salesforce/software-engineering-mts-93d224 ## About the Role * 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. * Experience building on or extending the Salesforce Platform (Apex, LWC, platform APIs). * Strong proficiency in a modern backend language (Java 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. * 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. * 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. Even Better If... * 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. ## Description * 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.