Senior Engineer, Infrastructure Platform

📋 Job Overview

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. 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.

🏢 About Fin

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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

🎯 The Role

Fin is the AI Customer Agent company, and our platform is what makes shipping that innovation possible. At Fin, shipping is our heartbeat, and product teams shouldn’t have to worry about infrastructure—it should “just work.” We are hiring a Senior Engineer for the Infra-Platform team, part of our broader Infraservices Group. Our team’s mission is simple but powerful: prevention is better than cure. We provide the tooling and platforms that make reliability, observability, secure deployment, and velocity the default path for every engineer. We make it incredibly easy to do the right thing, and appropriately hard to do the wrong thing. AI is how we live that mission. We don’t just build the platform for the AI Customer Agent company, we build with AI. Our engineers use coding agents and self-authored agent skills to automate toil, investigate incidents, and ship faster, and a big part of this role is extending that leverage to the rest of R&D. We expect every engineer here to treat AI as a core part of their toolkit, not an afterthought.

You will be joining a high-performing, high-autonomy team of deeply tenured engineers (our median tenure is five years!) who hold a high bar for execution and collaborative problem-solving. As a Senior Engineer, you will be a critical force-multiplier for the entire R&D organization. You won’t just keep the lights on; you will drive generational changes in our architecture, automate away toil, and eradicate manual work so our product teams can focus entirely on delivering customer value.

✅ Key Responsibilities

• Automate everything: Eradicate manual, repetitive, and unscalable work. You will view infrastructure challenges as software problems, building automation and tooling that accelerates R&D.
• Drive architectural evolution: Plan, design, and execute generational changes to Fin’s core infrastructure. You will navigate complex scaling challenges and build elasticity into our systems.
• Deliver operational excellence: Own the reliability of our core services. You will respond to operational events, dig deep to understand why they happened, and engineer permanent, preventative solutions.
• Be full stack: When there is an issue, you don’t stop at the infrastructure layer. You dive deep into our application code to trace problems out to the edge and fix customer-facing issues.
• Force-multiply through enablement: Abstract away shared concerns like security, compute, availability, and costs, so product engineers don’t have to think about them. You’ll scale your expertise through exceptional, easy-to-use agent skills, documentation, and reliable defaults.
• Raise the bar: Hold yourself and your teammates accountable with deep empathy. Share your domain expertise, review code quickly, unblock your peers, and foster a culture of continuous learning and support.
• Ship production-grade systems: Independently lead complex initiatives, owning the design, implementation, testing, and operational runbooks for high-impact infrastructure projects.
• Build AI-native leverage: Treat AI as a primary tool for getting work done, using coding agents to automate infrastructure work, and building agent skills, tooling, and reliable defaults that let every engineer at Fin apply that same leverage safely. You’ll look for the toil that AI should eliminate before a human ever touches it.

📌 Required Qualifications

• Cloud infrastructure expertise: Multiple years designing, building, and operating high-scale distributed systems and platforms in a cloud environment (ideally AWS), with accountability for availability, performance, and costs.
• Engineering rigor: Deep knowledge of modern programming languages with infrastructure-as-code as a nice to have. You have a track record of treating infrastructure as a software engineering discipline.
• Operational obsession: Expert grasp of reliability, performance, and failure modes. You define metrics, question outliers, and rely on telemetry to guide your decisions. You treat uptime as a feature and take immense pride in the resilience of your systems.
• Developer empathy: You obsess over making things “just work” for your internal customers. You understand the pain points of product developers and know how to eliminate their friction.
• Execution and ownership: A proven track record of independently driving complex, cross-team technical initiatives from conception to production, often spanning multiple quarters.
• Clear, timely communication: You write crisp technical docs, run blameless incident reviews, present trade-offs clearly to technical and non-technical partners, and thrive in an asynchronous, fast moving, and highly collaborative environment.
• AI-first by default: You reach for AI to accelerate your work and have a track record of doing so, automating investigation, code, and operational tasks with coding agents, and building tooling that scales that leverage to others. You exercise judgment about where AI helps and where it doesn’t, and you hold a high bar for the correctness and safety of what it produces.

🎁 Benefits

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

Fin has a radically open and accepting culture. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

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. 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.

🛂 Visa & Eligibility

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.