Description
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
