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About the Role

As a Production Support Engineer (PMTS), you will be a senior technical member of staff within our embedded reliability team. You will focus on production excellence, performance tuning, and infrastructure automation. You will 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. This is a role for an engineer who loves the "scaling" problem.

Responsibilities

Own the reliability roadmap for major product areas, working to transition our systems from startup-speed architectures to highly-available, global-scale enterprise solutions.
Provide expert insights to help guide and steer the technical direction of our team.
Provide both formal mentorship via direct engagement as well as informal mentorship via setting a high bar of technical excellence.
Maintain and evolve our automated environments, focusing on making our "infrastructure-as-plugins" model more robust and developer-friendly.
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.
Lead the "1 to 100" hardening of our observability stack, building the tooling that prevents incidents and the telemetry that explains them.
Deep-dive into SQL optimization, API latency, and cross-service communication to ensure our data-intensive supply chain platform remains performant under heavy load.
Use AI tools (Claude Code, Codex, etc.) to automate routine operational tasks and accelerate infrastructure delivery.

Requirements

9+ 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 "1 to 100" journey), dealing with the technical debt and architectural shifts that come with it.
Effective Communicator: Strong communication abilities are a must.
Coding Mastery: Expert in writing production-grade code in either Golang, TypeScript, or Python.
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 group’s technical vision.
AI Fluency: A demonstrated ability to use modern AI development tools to move faster and build more reliable systems.
Ownership Mentality: Ability to independently identify issues and own the solution all the way through final implementation.

Skills

Golang
TypeScript
Python
Kubernetes
Terraform/OpenTofu
AWS
GCP
Azure
SLO-based monitoring
Alerting
Distributed systems
Microservices
Databases
AI agents
PostgreSQL
Temporal
Istio
Prometheus
Grafana
Pagerduty
Elastisearch
Typesense
Salesforce infrastructure
Hyperforce
Data Cloud

Location

San Francisco
New York City

Work Type

Full-time

Experience Level

Principal-level
9+ years of experience

Education Level

M.S. in Computer Science or equivalent practical experience

Salary/Compensations

$197,300 - $313,700
$237,700 - $344,700

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and 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 world of Salesforce is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Agentforce is the future of AI, and you are the future of Salesforce.
Join an agile team with deep startup roots. We operate as a high-velocity ‘startup-within-Salesforce,’ following our recent acquisition.
We have successfully moved past the "0 to 1" phase. We have a product that works, customers who love it, and the backing of Salesforce. Now, we are entering the "1 to 100" phase: scaling our architecture to handle global demand, hardening our systems for enterprise-grade resilience, and integrating deeply 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.
We believe in equality for all.
We believe we can lead the path to equality in part by creating 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 current and prospective employees, no matter where they are in their Salesforce employment journey.
It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
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.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.