Cloud Sales Engineer Jobs in San Francisco, CA

INTRODUCTION

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category: Software Engineering

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. 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.

OVERVIEW OF THE ROLE

The Software Engineer (MTS) role is part of our Platform Engineering team within the Cloud Infrastructure organization. Platform Engineering is made up of platform engineers, SREs, and DevOps specialists who design, build, and operate the internal developer platform powering hundreds of Kubernetes clusters across AWS, Azure, GCP, and OCI. Whether we are automating cluster lifecycle management, hardening our GitOps delivery pipelines, or embedding AI into our daily engineering workflows, we strive to give every product team a fast, secure, and reliable path to production. We are looking for a Member of Technical Staff to grow with our multi-cloud platform. You'll build and operate core platform services in Go and Python, contribute to our GitOps and continuous deployment pipelines, and learn to operate Kubernetes at scale — all while developing an agentic mindset and becoming an AI amplifier who multiplies your own output with AI-assisted engineering practices from day one.

WHAT YOU'LL ACTUALLY BE DOING

Success will be measured by your growing contributions to the reliability, scalability, and developer experience of the platform services our team builds and operates across our multi-cloud Kubernetes fleet.

• Build and maintain platform services and automation in Go and Python that help manage Kubernetes clusters across AWS, Azure, GCP, and OCI.
• Contribute to continuous deployment pipelines using GitOps tooling (Flux, Argo CD) and infrastructure-as-code frameworks (Pulumi, Terraform) to enable safe, repeatable releases.
• Take part in fleet initiatives such as cluster lifecycle automation, upgrades, policy enforcement, and observability improvements, with guidance from senior engineers.
• Partner with SRE, security, and product engineering teams to understand their needs and help deliver self-service platform capabilities that reduce toil.
• Be an AI amplifier: use AI tooling in your everyday engineering workflows — agentic coding assistants (e.g., Claude Code) for development, code review, automation, and operational runbooks — to force-multiply your output as you ramp.
• Develop an agentic mindset: learn to spot repetitive operational work and propose agent-driven or AI-augmented automations that reduce manual effort.
• Participate in design reviews and code reviews, write clear technical documentation, and grow your platform and cloud-native expertise.
• Join on-call rotations as you ramp and help improve the operational posture of the platform through automation and post-incident learning.

YOU'RE OUR PERSON IF…

- 2 - 4 years of professional experience in cloud infrastructure engineering and continuous deployment.
- Hands-on Kubernetes experience — deploying, troubleshooting, and automating workloads or clusters (networking, scaling, upgrades).
- Good programming skills in Golang and/or Python, with experience building services, CLIs, or automation tooling.
- Multi-cloud exposure, primarily AWS, with a working understanding of core compute, networking, IAM, and managed Kubernetes services.
- Familiarity with GitOps using Flux or Argo CD, and infrastructure-as-code with Pulumi (or comparable tooling such as Terraform).
- Demonstrated AI literacy and an emerging agentic mindset — you actively use AI tools in your daily engineering work (code generation, debugging, documentation, automation) and can speak to how AI has amplified your output.
- Strong communication and collaboration skills, and an eagerness to learn and grow within a fast-moving platform team.

EVEN BETTER IF…

- Hands-on experience with Claude Code or other agentic coding tools — building agentic workflows, custom commands, or MCP integrations is a strong plus; any track record of being an AI amplifier stands out even more.
- Experience with GCP, OCI, or Azure beyond AWS, especially managing Kubernetes (GKE, OKE, AKS) across providers.
- Exposure to compliance-driven environments (FedRAMP, SOC 2) and sound security and change-management practices.
- Familiarity with policy-as-code (Kyverno, OPA/Gatekeeper), supply-chain security (cosign, SBOM), or artifact/registry governance.
- Exposure to internal developer platforms (IDPs), platform APIs, or developer experience tooling.
- Contributions to open-source cloud-native projects (CNCF ecosystem).

COMPENSATION

- The typical base salary range for this position is $117,200 - $176,700 annually.
- In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $194,200 annually.
- The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

ACCOMMODATIONS

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt-out options.

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.

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.