Software Engineer, Site Reliability
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Role details
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Job description
As a Production Support Engineer (SMTS), you will be a senior technical member of staff within our embedded reliability team. You arenāt building the foundation alone-youāll 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.
This is a role for an engineer who loves the āscalingā problem. You will focus on production excellence, performance tuning, and infrastructure automation. Because you are embedded in the product organization, youāll 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.
- 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 āinfrastructure-as-pluginsā 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 ā1 to 100ā hardening of our observability stack. You wonāt just respond to incidents; youāll 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.
Requirements
- 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 ā1 to 100ā 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 groupās 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, weāre looking for someone who can independently identify issues and own the solution all the way through final implementation.
Even Better Ifā¦
- 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.
Benefits & conditions
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.
About the company
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isnāt a buzzword - itās a way of life. The world of work as we know it is changing and weāre looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforceās core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? Youāre in the right place! Agentforce is the future of AI, and you are the future of Salesforce., 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 thatās 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
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