Software Engineering MTS

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Software Engineering

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.

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 Git Ops 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.

• 1+ 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 Git Ops 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.

• 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).

In the United States, compensation offered will be determined by factors such as location, job…