Senior Software Engineer, Site Reliability (Agentforce Ops)

Salesforce; New York (NY); On-site; USD 149,000 - 224,000; Full time

Job summary

Salesforce, Inc. is seeking a Production Support Engineer (SMTS) to join our embedded reliability team. You’ll help scale the Agentforce Operations platform, ensuring reliability across global demand and enterprise-grade resilience.

You’ll collaborate with senior engineers to shape infrastructure strategy, improve observability, and automate operations using AI tools. This is a high-responsibility role in a fast-growing environment in New York, USA.

Qualifications

• 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a heavy focus on operations and scale.
• Proven Scaling Experience: helped take a product through a high-growth phase (the "1 to 100" journey).
• Coding Mastery: production-level code in Golang, TypeScript, or Python; automation as software engineering.
• Technical Breadth: strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
• Observability Expert: experience with instrumenting apps and platforms with SLO-based monitoring and alerts.
• Systems Expert: deep understanding of distributed systems and microservice interactions.
• Low-Ego Collaboration: experience with senior teams and leadership in initiatives.
• AI Fluency: ability to use modern AI tools to move faster and build reliable systems.
• Ownership Mentality: able to identify issues and own solutions end-to-end.

Responsibilities

• Scaling & Reliability: own the reliability roadmap for major product areas, transitioning to highly-available global-scale solutions.
• Collaborative Leadership: partner with senior engineers to refine infrastructure strategy and capacity planning.
• Infrastructure as Code: maintain and evolve automated environments; enhance infrastructure-as-plugins model.
• AI Operations (AIOps): scale AI/ML infrastructure, ensuring GPU resources and data pipelines for real-time insights.
• Production Excellence: lead 1 to 100 hardening of observability stack and develop telemetry to prevent incidents.
• Performance Engineering: optimize SQL, API latency, and cross-service communication for data-intensive workflows.
• AI-First Workflow: use AI tools to automate tasks and speed up infrastructure delivery.

Skills

SRE

Production Engineering

Backend Engineering

Golang

TypeScript

Python

Kubernetes

Terraform/OpenTofu

AWS/GCP/Azure

Observability

AI/ML Infrastructure

SQL Optimization

Tools

Kubernetes

Terraform/OpenTofu

AWS

GCP

Azure

Istio

Temporal

CI/CD

Job description

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it 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.

The Experience

Join an agile team with deep startup roots.

We operate as a high-velocity ‘startup-within-Salesforce,’ following our recent acquisition. You’ll 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 "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. This is your chance to help lead that transition.

What You’ll Actually Be Doing

As a Production Support Engineer (SMTS), you will be a senior technical member of staff within our embedded reliability team. You aren’t building the foundation alone—you’ll 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.

• 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 won’t just respond to incidents; you’ll 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.

You’re 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 "1 to 100" 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 Python—you 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 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. We are a senior team who operate with a high degree of autonomy. As a result, we’re 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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. 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. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. 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. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.