Software Engineering SMTS

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 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. 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.

About The Team The Informatica Cloud Trust team is part of the Cloud Platform organization at Salesforce. Our team — made up of cloud engineers, SREs, and DevOps specialists — designs, builds, and operates the internal developer platform powering hundreds of Kubernetes clusters across AWS, Azure, GCP, and OCI. From automating cluster lifecycle management and hardening GitOps delivery pipelines to embedding AI into daily engineering workflows, we give every product team a fast, secure, and reliable path to production. Role Summary We are looking for a

Senior Member of Technical Staff (SMTS) to accelerate the evolution of our multi-cloud platform. In this role, you will build and operate core platform services in Go and Python, shape our GitOps and continuous deployment strategy, drive automation at fleet scale, and act as an AI amplifier for the team — multiplying engineering output by championing agentic, AI-assisted engineering practices across everything we build and operate. What You'll Do

• Design, build, and operate platform services and automation in Go and Python that manage Kubernetes clusters at scale across AWS, Azure, GCP, and OCI.
• Build and improve continuous deployment pipelines using GitOps tooling (Flux, Argo CD) and infrastructure-as-code frameworks (Pulumi, Terraform) to enable safe, repeatable, and fully automated releases.
• Drive fleet-wide initiatives including cluster lifecycle automation, upgrade orchestration, policy enforcement, and observability improvements.
• Partner with SRE, security, and product engineering teams to deliver self-service platform capabilities that reduce toil and accelerate delivery.
• Be an AI amplifier: embed AI tooling into everyday engineering workflows — using agentic coding assistants (e.g., Claude Code) for development, code review, automation, and operational runbooks — and help raise the team's AI fluency.
• Bring an agentic mindset to platform problems: identify toil and repetitive operational work, and design agent-driven or AI-augmented automations that let the platform operate and self-heal with minimal human intervention.
• Participate in design reviews, write clear technical documentation and RFCs, and mentor junior engineers on platform and cloud-native best practices.
• Contribute to on-call rotations and continuously improve operational posture through automation and post-incident learning. Success will be measured by the reliability, scalability, and developer experience of the platform services you build and operate across our multi-cloud Kubernetes fleet.

Required Qualifications

• 5+ years of professional experience in cloud infrastructure engineering and continuous deployment.
• Strong, hands-on Kubernetes experience — operating, troubleshooting, and automating clusters in production (controllers/operators, networking, scaling, upgrades).
• Solid programming skills in Golang and/or Python, with experience building production-grade services, CLIs, or automation tooling.
• Multi-cloud experience, primarily AWS, with working knowledge of core compute, networking, IAM, and managed Kubernetes services.
• Hands-on GitOps experience with Flux or Argo CD, and infrastructure-as-code experience with Pulumi or comparable tooling (Terraform).
• Demonstrated AI literacy and an agentic mindset — you actively use AI tools in your daily engineering work (code generation, debugging, documentation, automation), think in terms of delegating work to agents, and can speak to how AI has amplified your output.
• Strong communication and collaboration skills, with the ability to work across teams and drive technical initiatives independently.

Preferred Qualifications

• Hands-on experience with Claude Code or other agentic coding tools — building agentic workflows, custom commands, or MCP integrations is a strong plus; a track record of being an AI amplifier on prior teams stands out.
• Experience with GCP, OCI, or Azure beyond AWS, especially managing Kubernetes (GKE, OKE, AKS) across providers.
• Experience operating in compliance-driven environments (FedRAMP, SOC 2) with strong security and change-management practices.
• Contributions to open-source cloud-native projects (CNCF ecosystem). Why Salesforce At Salesforce, we believe in doing well and doing good. We are committed to creating a workplace that reflects the communities we serve and where every employee feels seen, valued, and empowered to bring their full selves to work. Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status 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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. 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.