Senior Software Engineer, Site Reliability (Agentforce Ops)

100 Salesforce, Inc.; San Francisco (CA); On-site; USD 149,000 - 224,000; Full time

Benefits offered by this job

Time off programs

Medical

Dental

Vision

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Job summary

Salesforce, Inc. is seeking a senior SRE/Backend Engineer to lead reliability across major product areas, driving scalable, enterprise-grade infrastructure. You’ll partner with top engineers to shape infrastructure strategy and implement automated environments with AI-enabled tooling.

You will advance AI/ML infrastructure, ensure observability, and optimize performance across distributed services at scale. Join a startup-within-Salesforce culture and help push Agentforce to global readiness.

Qualifications

• 5+ years of experience in SRE, Production Engineering, or Backend Engineering focusing on operations and scale.
• Proven scaling experience, taking a product through a high-growth phase and addressing technical debt.
• Proficiency in writing production-grade code in Golang, TypeScript, or Python with an automation mindset.
• Strong Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure skills.
• Demonstrated experience with instrumenting applications and platforms with SLO-based monitoring and alerting.
• Deep understanding of distributed systems and microservices interactions, including databases and AI agents.

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 design.
• Infrastructure as Code: Maintain and evolve automated environments; enhance infrastructure-as-plugins model.
• AI Operations (AIOps): Scale AI/ML infrastructure with GPU resources and data pipelines for real-time insights.
• Production Excellence: Harden observability stack and build tooling to prevent incidents and explain telemetry.
• Performance Engineering: Optimize SQL, API latency, and cross-service communication for data-intensive workloads.
• AI-First Workflow: Use AI tools to automate tasks and accelerate infrastructure delivery.

Skills

Golang

TypeScript

Python

Kubernetes

Terraform/OpenTofu

AWS/GCP/Azure

Observability

AI/ML tooling

Ownership mentality

SQL

Education

M.S. in Computer Science or equivalent

Tools

Temporal

Istio

Git

CLI tooling

Job description

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. Ready to level‑up your career at the company leading workforce transformation in the agentic era? You’re in the right place! 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. 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

• 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.

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.

Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program

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.

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.

We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place.