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Job Category
Software Engineering
Job Details
The Experience
Join an agile team with deep startup roots. We operate as a high-velocity startup-within-Salesforce, following our recent acquisition. Youll be managed by the same founders and engineers who built the original company, offering the autonomy of a small team backed by the global scale and trust of Salesforce.
We have successfully moved past the 20 to 12 phase. We have a product that works, customers who love it, and the backing of Salesforce. Now, we are entering the 1 to 1002 phase: scaling our architecture to handle global demand, hardening our systems for enterprise-grade resilience, and integrating deeply with the Agentforce ecosystem. This is your chance to help lead that transition.
What Youll Actually Be DoingAs a Production Support Engineer (SMTS), you will be a senior technical member of staff within our embedded reliability team. You arent building the foundation aloneyoull 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, youll 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.
- 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 wont just respond to incidents; youll 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.
Youre Our Person If...- 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 21 to 1002 journey), dealing with the technical debt and architectural shifts that come with it.
- Coding Mastery: Ability to write and review production-level code in Golang, TypeScript, or Pythonyou 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 groups 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, were 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.
Unleash Your Potential
When you join Salesforce, youll 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, well 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 whats possible for yourself, for AI, and the world.
