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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer, Site Reliability - **Company:** Salesforce Inc. - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $197,300.0 - $313,700.0 - **Contract:** Permanent contract - **Skills:** OpenTofu, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Databases, Software Debugging, Programming Tools, Distributed Systems, Monitoring of Systems, Python (Programming Language), PostgreSQL, Performance Tuning, Query Optimization, Reliability Engineering, Prometheus, Salesforce.Com, Software Engineering, TypeScript, Data Logging, Sql Optimization, Istio, Claude Code, Grafana, Technical Debt, Indexer, Agentic-AI, Kubernetes, Information Technology, Production Code, Machine Learning Operations, Terraform, AIOps, Data Pipelines, Pagerduty, Golang, Microservices - **Published:** October 31, 2026 - **Apply:** https://www.themuse.com/jobs/salesforce/principal-software-engineer-site-reliability-agentforce-ops ## About the Role * 9+ 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. * Effective Communicator: This is an integral role within our organization as you'll be responsible for implementing the product vision and then communicating that reality back to a variety of stakeholders with varying degrees of technical expertise. As such, strong communication abilities are a must. * Coding Mastery: You are an expert in writing production-grade code in either Golang, TypeScript, or Python-you view automation as a software engineering problem. * Technical Breadth: Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure. * Observability Expert: Demonstrated experience with properly instrumenting applications and platforms with SLO-based monitoring and alerting. * 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. * AI Fluency: A demonstrated ability to use modern AI development tools to move faster and build more reliable systems. * Ownership Mentality. We are a senior team who operate with a high degree of autonomy. As a result, we're looking for someone who can independently identify issues and own the solution all the way through final implementation. Even Better If... * M.S. in Computer Science or equivalent practical experience. * Database Specialist: Strong experience with PostgreSQL at scale (partitioning, indexing, query tuning). * Distributed Systems: Advanced knowledge of microservice orchestration and durability patterns, including hands-on experience with Temporal for workflow reliability and Istio service meshes for secure, observable service-to-service communication in high-growth SaaS environments. * Monitoring and Observability: Tracing, profiling, monitoring, logging, dashboard creation - we're looking for someone who has demonstrated prior results across a wide breadth of the monitoring and observability stack. Specific experience in Prometheus, Grafana, and Pagerduty is desired. * Search Indexing: Prior experience with Elastisearch implementations or Typesense. * Salesforce Knowledge: Familiarity with Salesforce infrastructure, Hyperforce, or Data Cloud is a plus. ## Description As a Production Support Engineer (PMTS), you will be a senior technical member of staff within our embedded reliability team. You aren't building the foundation alone-you'll work alongside a group of engineers and product owners to ensure the Agentforce Operations platform is the most reliable AI-powered engine in the industry. This is a role for an engineer who loves the "scaling" problem. You will focus on production excellence, performance tuning, and infrastructure automation. Because you are embedded in the product organization, you'll have a seat at the table during design reviews, ensuring that as we add new agentic capabilities, they are built to scale from day one. We want people who have a proven track record of delivering real, measurable outcomes and get excited about the prospect of getting to own and steer the direction of our technical architecture. * 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. * Technical Leadership: As a Principal-level member of technical staff, the team will be expecting you to provide the expert insights to help guide and steer the technical direction of our team. * Mentorship: The LMTS and SMTS members of our team will be looking to provide both formal mentorship via direct engagement as well as informal mentorship via setting a high bar of technical excellence. This is not a role where you will work in a silo - close collaboration amongst the team is required and expected and it will be your job to initiate that. * 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, Codex, etc.) to automate routine operational tasks and accelerate infrastructure delivery.