Description
Join Salesforce, the #1 AI CRM, as a Production Support Engineer (SMTS) in the Agentforce team. You will be a senior technical member of staff within our embedded reliability team, working on the Agentforce Operations platform to ensure it's the most reliable AI-powered engine in the industry. Your focus will be on production excellence, performance tuning, and infrastructure automation.
Responsibilities:
- Own the reliability roadmap for major product areas, transitioning systems from startup-speed architectures to highly-available, global-scale enterprise solutions.
- Partner with PMTS-level engineers to refine infrastructure strategy, contributing senior-level perspectives on system design, capacity planning, and bottleneck identification.
- 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 required GPU resources and data pipelines for real-time supply chain insights.
- Lead the '1 to 100' hardening of the observability stack, building tooling that prevents incidents and telemetry that explains them.
- Deep-dive into SQL optimization, API latency, and cross-service communication to ensure the data-intensive supply chain platform remains performant under heavy load.
- Use AI tools to automate routine operational tasks and accelerate infrastructure delivery.
Requirements:
- 5+ 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, dealing with technical debt and architectural shifts.
- Ability to write and review production-level code in Golang, TypeScript, or Python.
- Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
- Demonstrated experience with properly instrumenting applications and platforms with 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, capable of leading specific initiatives and supporting the broader group's technical vision.
- Ability to use modern AI development tools to move faster and build more reliable systems.
- Ownership mentality, able to independently identify issues and own the solution all the way through final implementation.
Nice to Have:
- M.S. in Computer Science or equivalent practical experience.
- Strong experience with PostgreSQL at scale, including partitioning, indexing, and query tuning.
- Advanced knowledge of microservice orchestration and durability patterns, including hands-on experience with Temporal for workflow reliability and Istio service meshes.
Benefits:
- Time off programs
- Medical, dental, vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
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.