Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As a Senior Platform Engineer, you will build and maintain CI/CD infrastructure, internal tooling for scaling cloud services, and automate workflows while driving software delivery efficiency.

Lead technology strategy for key accounts, cultivate executive relationships, influence technology adoption, and drive cloud transformation initiatives at enterprise scale.

The role involves architecting and managing Workday HCM and Payroll, leading integrations, ensuring compliance, and building reporting tools. It also requires team leadership and collaboration across finance and HR functions.

Lead end-to-end consolidation across all legal entities, including intercompany eliminations, multi-currency, minority interest, and topside entries. Own NetSuite OneWorld consolidation processes, SOX controls, close calendar, and automation efforts. Partner with Tax, Technical Accounting, Financial Systems, and auditors to prepare consolidated financial statements, support audits, and build IPO-ready consolidation infrastructure. Mentor accounting staff and drive continuous improvement as the company scales internationally.

Partner with business teams to convert manual reporting and spreadsheet-driven workflows into trusted self-serve data products and automated tooling. Define metrics, build or scope dashboards and automation, triage and prioritize tool requests, write engineering-ready specs, and deliver lightweight fixes or handoffs to engineering. Measure success by reduced manual work, trusted dashboards, and time saved.

Lead investor relations analysis and earnings preparation, translate investor sentiment and market dynamics into insights, partner with finance and capital teams, guide a junior analyst, and shape external communications and investor messaging for executive leadership.

Lead design and implementation of high-performance distributed storage systems and protocols (object, block, file) for AI infrastructure. Set technical direction, author designs, mentor engineers, integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance, build benchmarking and observability tooling, and drive cross-team deployments and incident response in multi-petabyte data center environments.

Design, deploy, and operate Kubernetes clusters across AWS and bare-metal datacenters. Build automation for provisioning, upgrades, and scaling. Own reliability, performance, and security of production workloads. Implement observability, logging, and alerting. Partner on cloud-native services and CI/CD; lead incident response and post-mortems; set platform standards and mentor engineers.

Lead a team focused on AI Cloud Platform development, ensuring feature delivery, scalability, and team growth while collaborating across departments.

Lead design and implementation of scalable supply chain, procurement, inventory, asset management, and financial workflows. Translate business requirements into system solutions (NetSuite, Coupa, PLM), drive testing, deployment, training, governance, master data initiatives, and continuous improvement across cross-functional stakeholders.