Platform Engineer — Cloud Infrastructure (SMTS)

Job Category: Software Engineering Job Title: Platform Engineering — Cloud Infrastructure Overview of the Role The SMTS role is part of our Platform Engineering team within the Cloud Infrastructure organization. Platform Engineering is made up of platform engineers, SREs, and DevOps specialists who design, build, and operate the internal developer platform powering hundreds of Kubernetes clusters across AWS, Azure, GCP, and OCI. Whether we are automating cluster lifecycle management, hardening our GitOps delivery pipelines, or architecting autonomous agents to manage production systems, we strive to give every product team a fast, secure, and reliable path to production. What You’ll Actually Be Doing Design, build, and operate platform services and infrastructure automation in Go and Python, embedding AI capabilities directly into the core platform software. Architect and implement intelligent, closed‑loop automation systems (AIOps) that leverage LLMs and autonomous agents to detect anomalies, perform root‑cause analysis, and execute self‑healing remediation playbooks. Build and maintain Retrieval‑Augmented Generation (RAG) applications over internal platform documentation, runbooks, and historical incident data to drastically reduce engineering MTTR. Develop custom tools, CLI plugins, and Model Context Protocol (MCP) integrations that connect our cloud infrastructure APIs to agentic coding tools (like Claude Code), turning standard automation into autonomous workflows. Partner with SRE, security, and platform specialists to identify highly repetitive operational work and build agentic solutions that delegate that toil to AI. Maintain and improve standard continuous deployment pipelines using GitOps tooling (Flux, Argo CD) and infrastructure‑as‑code frameworks (Pulumi, Terraform) to ensure safe, repeatable delivery of both traditional platform code and AI‑driven solutions. Participate in design reviews, write clear technical documentation and RFCs, and mentor traditional platform engineers on AI/ML concepts, prompt engineering, and agentic design patterns. Contribute to on‑call rotations and continuously bring an AI‑first perspective to improving incident management and platform post‑mortems. You’re Our Person If… 5+ years of professional experience in software engineering, platform engineering, or DevOps, with a recent, heavy focus on building and implementing AI solutions. Strong understanding of core AI and ML concepts applied practically to software engineering, including LLM context window optimization, embedding models, semantic search, vector databases, and prompt engineering/tuning. Experience building with agentic frameworks and LLM orchestration tooling to execute multi‑step, autonomous tasks. Good programming skills in Golang and Python, with the ability to build production‑grade backend services, APIs, and microservices. Solid fundamental knowledge of cloud‑native infrastructure, with hands‑on experience in Kubernetes and multi‑cloud environments (AWS, Azure, GCP, or OCI). Familiarity with continuous deployment and infrastructure‑as‑code concepts (GitOps with Flux/Argo CD, Pulumi, or Terraform). Demonstrated agentic and automation mindset — you have a proven track record of using AI to automate complex workflows and can speak deeply on how you design AI systems to handle edge cases, tool‑calling errors, and non‑deterministic outputs. Strong communication and collaboration skills, with a passion for teaching, raising the team’s AI literacy, and evangelizing AI solutions across engineering boundaries. Even Better If… Hands‑on experience building custom extensions, plugins, or Model Context Protocol (MCP) servers for agentic developer tools like Claude Code or GitHub Copilot. Experience applying AI specifically to observability data (parsing logs, analyzing metrics, or correlating distributed traces) for predictive scaling or automated alerting. Deep experience working with vector databases (e.g., Pinecone, Qdrant, Milvus, pgvector) inside platform applications. Experience operating AI‑driven tools within compliance‑driven environments (FedRAMP, SOC 2), ensuring strong data privacy boundaries, LLM guardrails, and secure handling of sensitive cloud credentials. Experience with internal developer platforms (IDPs), platform APIs, or building developer experience (DevEx) tooling. Contributions to open‑source projects is a plus. 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 and be your best, and our AI agents accelerate your impact so you can do 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 If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. ... Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Benefits In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr Centaur Labs