Description
Join Salesforce's Agentforce team as a Production Support Engineer (PMTS). You'll work on ensuring the Agentforce Operations platform is the most reliable AI-powered engine in the industry. The team is currently in the "1 to 100" phase, scaling their architecture to handle global demand, hardening systems for enterprise-grade resilience, and integrating deeply with the Agentforce ecosystem.
Responsibilities:
- Own the reliability roadmap for major product areas, transitioning systems from startup-speed architectures to highly-available, global-scale enterprise solutions.
- Provide expert insights to guide and steer the technical direction of the team.
- Mentor team members, both formally and informally, to maintain high technical excellence.
- Maintain and evolve automated environments, focusing on making the "infrastructure-as-plugins" model more robust and developer-friendly.
- Support the scaling of AI/ML infrastructure, ensuring models have the necessary GPU resources and data pipelines.
- Lead the "1 to 100" hardening of the observability stack, building tooling to prevent incidents and telemetry to explain them.
- Deep-dive into SQL optimization, API latency, and cross-service communication to ensure the platform remains performant under heavy load.
- Use AI tools to automate routine operational tasks and accelerate infrastructure delivery.
Requirements:
- 9+ years of experience in SRE, Production Engineering, or Backend Engineering with a focus on operations and scale.
- Proven experience in taking a product through a high-growth phase (the "1 to 100" journey).
- Effective communication skills, with the ability to implement the product vision and communicate it to stakeholders.
- Expertise in writing production-grade code in Golang, TypeScript, or Python.
- Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
- Demonstrated experience with observability, including SLO-based monitoring and alerting.
- Deep understanding of distributed systems, including debugging complex interactions between microservices, databases, and AI agents.
- Experience working within a senior team of Principal engineers, with low-ego collaboration.
- Ability to use modern AI development tools to move faster and build more reliable systems.
- Ownership mentality, with the ability to independently identify issues and own the solution.
Nice to Have:
- M.S. in Computer Science or equivalent practical experience.
- Strong experience with PostgreSQL at scale.
- Advanced knowledge of microservice orchestration and durability patterns.
- Experience with Temporal for workflow reliability and Istio service meshes.
- Demonstrated prior results across a wide breadth of the monitoring and observability stack.
- Familiarity with Salesforce infrastructure, Hyperforce, or Data Cloud.
Benefits:
- Time off programs
- Medical, dental, vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
Salary Range: $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.