Remote Salesforce Support Engineer Jobs (NOW HIRING)

Job Summary:
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. As a Production Support Engineer (LMTS), you will be a senior technical lead within the embedded reliability team, focusing on production excellence, performance tuning, and infrastructure automation for the Agentforce for Supply Chain platform.
Responsibilities:
• Scaling & Reliability: Own the reliability roadmap for major product areas, working to transition our systems from startup-speed architectures to highly-available, global-scale enterprise solutions.
• Collaborative Leadership: Partner with PMTS-level engineers to refine our infrastructure strategy, contributing senior-level perspectives on system design, capacity planning, and bottleneck identification.
• Infrastructure as Code: Maintain and evolve our automated environments, focusing on making our 'infrastructure-as-plugins' model more robust and developer-friendly.
• AI Operations (AIOps): Support the scaling of our AI/ML infrastructure, ensuring our models have the GPU resources and data pipelines required to deliver real-time supply chain insights.
• Production Excellence: Lead the '1 to 100' hardening of our observability stack. You won’t just respond to incidents; you’ll build the tooling that prevents them and the telemetry that explains them.
• Performance Engineering: Deep-dive into SQL optimization, API latency, and cross-service communication to ensure our data-intensive supply chain platform remains performant under heavy load.
• AI-First Workflow: Lean into the future of engineering by using AI tools (Claude Code, etc.) to automate routine operational tasks and accelerate infrastructure delivery.
• 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.
Qualifications:
Required:
• 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a heavy focus on operations and scale.
• Proven Scaling Experience: You have previously helped take a product through a high-growth phase (the "1 to 100" journey), dealing with the technical debt and architectural shifts that come with it.
• Technical Breadth: Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
• Coding Mastery: Ability to write and review production-level code in Golang, TypeScript, or Python—you view automation as a software engineering problem.
• Systems Expert: Deep understanding of distributed systems, including how to debug complex interactions between microservices, databases, and AI agents.
• Low-Ego Collaboration: Experience working within a senior team of Principal engineers, capable of both leading specific initiatives and supporting the broader group’s technical vision.
• 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.
Preferred:
• M.S. in Computer Science or equivalent practical experience.
• Strong experience with PostgreSQL at scale (partitioning, indexing, query tuning).
• Advanced knowledge of microservice orchestration and durability patterns, including hands-on experience with Temporal for workflow reliability and service mesh for secure, observable service-to-service communication in high-growth SaaS environments.
• Experience with the unique data constraints and reliability requirements of manufacturing or global logistics.
• Familiarity with Salesforce infrastructure, Hyperforce, or Data Cloud is a plus.
• Deep knowledge of networking, security, and identity management within major cloud providers.
Company:
Salesforce is a cloud-based software company that provides customer relationship management software and applications. Founded in 1999, the company is headquartered in San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.