Infrastructure Platform Engineering (SMTS, Software Engineering)

Job description

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 RoleTitle - Software Engineer, SMTS - Infrastructure Platform Engineering We're looking for a strong infrastructure engineer to contribute to high-impact modernization and cloud platform efforts at Salesforce. A core focus is supporting the migration of Tableau's legacy hypervisor and VM infrastructure into Salesforce-managed infrastructure — owning defined workstreams (e.g., discovery, design, and delivery for a specific domain or service area) within a broader effort spanning Public Cloud, Networking, Security, SRE, and Database teams. More broadly, this role also builds and operates scalable, secure public cloud solutions (AWS, with Azure/GCP exposure) as part of the platform team. You'll bring solid technical depth to discovery conversations, help translate ambiguous legacy environments into concrete implementation plans for your area, and contribute to a reusable migration and platform engineering foundation that serves future acquisitions and ongoing cloud operations alike. You'll bring deep technical credibility to discovery conversations, translate ambiguous legacy environments into clear architectural plans, and help build a reusable migration and platform engineering foundation that serves future acquisitions and ongoing cloud operations alike. If you thrive in environments where the map doesn't exist yet and you have the skills to draw it, this role is for you.  What You'll Do • Conduct technical discovery for a defined portion of the legacy infrastructure (e.g., a specific service or workload class within Tableau's hypervisor/VM environment), documenting findings and gaps for your area • Partner with Public Cloud, Networking, Security, Storage, OS, and SRE teams to design and implement your piece of the target infrastructure architecture (AWS, Private Cloud, or hybrid), working from the broader architecture direction set by architects/LMTS+ leads • Develop and implement cloud solutions for medium-complexity problems, designing for performance, scalability, and reliability • Produce implementation plans for your workstream — design, effort estimates, resource needs — and deliver reliably against them • Execute migration and modernization work for your assigned portion of the legacy VM-based infrastructure, ensuring continuity of dependent services throughout the transition • Build components with reusability in mind, contributing to a scalable migration framework and infrastructure model that reduces repeated engineering effort for future M&A integrations • Build, maintain, and deploy infrastructure as code (IaC) and modern CI/CD pipelines to streamline deployment velocity • Build automation for operations, self-healing systems, proactive alerting, and event auto-remediation within your area • Collaborate across infrastructure disciplines to deliver your workstream on schedule, escalating cross-team dependencies as needed • Apply and help refine security and networking standards aligned with Salesforce requirements (e.g., supporting retirement of legacy auth systems) • Participate in an on-call rotation to ensure timely incident response, root-cause analysis, and minimal downtime • Document decisions, architecture diagrams, runbooks, and operational playbooks to support long-term maintainability Coding & Technical Depth Given the scope of building on AWS, working at the hypervisor level, and supporting large-scale file transport, candidates should be comfortable coding — not just configuring — across: • Infrastructure-as-Code & automation: Terraform, Ansible/Puppet, and Python for tooling, orchestration, and operational scripts • AWS SDK/API-level development: boto3 (Python) or AWS SDK for Go/Java, to build directly against AWS APIs (EC2, VPC, S3, EBS, networking) rather than console/Terraform alone • Hypervisor/virtualization internals: experience with VMware APIs (vSphere API/PowerCLI), KVM/libvirt, or Nitro-based EC2 bare metal for building and operating hypervisor infrastructure including vSphere clustering, HA/DRS configuration, and storage vMotion-level troubleshooting • Large-scale file transport & data movement: experience with high-throughput transfer protocols and services — AWS DataSync, Transfer Family, S3 multipart/accelerated transfer — for large file transport projects on AWS • Systems-level languages: Go or Java f