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About the Role
Salesforce is seeking a Production Support Engineer (SMTS) to join an agile team focused on ensuring the Agentforce Operations platform is the most reliable AI-powered engine in the industry. This role involves focusing on production excellence, performance tuning, and infrastructure automation, with a seat at the table during design reviews to ensure new capabilities are built to scale.
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 GPU resources and data pipelines required for real-time supply chain insights.
- Lead the 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 data-intensive supply chain platform remains performant under heavy load.
- Utilize AI tools (Claude Code, Codex, etc.) to automate routine operational tasks and accelerate infrastructure delivery.
Requirements
- 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a heavy focus on operations and scale.
- Proven experience helping 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 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 initiatives and supporting the broader group’s technical vision.
- Demonstrated ability to use modern AI development tools to move faster and build more reliable systems.
- Ability to independently identify issues and own the solution through final implementation.
Skills
- Golang
- TypeScript
- Python
- Kubernetes
- Terraform
- OpenTofu
- AWS
- GCP
- Azure
- SLO-based monitoring
- Alerting
- Distributed systems
- Microservices
- AI agents
- AI development tools
- PostgreSQL
- SQL optimization
- API latency
- Temporal
- Istio
Location
- Select cities within the San Francisco and New York City metropolitan area
Work Type
- Full-time
Experience Level
- Senior
- 5+ years
Education Level
- M.S. in Computer Science or equivalent practical experience
Salary/Compensations
- $148,500 - $223,900 annually (standard)
- $178,900 - $246,000 annually (select SF/NYC metro areas)
Benefits
- Time off programs
- Medical
- Dental
- Vision
- Mental health support
- Paid parental leave
- Life insurance
- Disability insurance
- 401(k)
- Employee stock purchasing program
About the Company
- Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
- The company is leading workforce transformation in the agentic era.
- Agentforce is the future of AI.
- The team operates as a high-velocity startup within Salesforce, following a recent acquisition.
- The company offers the autonomy of a small team backed by the global scale and trust of Salesforce.
- The company is entering the "1 to 100" phase: scaling architecture, hardening systems, and integrating with the Agentforce ecosystem.
Equal Opportunity
- Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
- Salesforce believes in equality for all and aims to create a workplace that’s inclusive and free from discrimination.
- Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
- This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and all other aspects of employment.
- Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
- Salesforce will consider for employment qualified applicants with arrest and conviction records (pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring).