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

Design, develop, deploy, and support integrations using Oracle SOA Suite and WebMethods. Build SOAP/REST services, handle EDI X12, perform SQL/PLSQL data work, troubleshoot production incidents, create technical documentation, and work in an agile team to deliver integration solutions.

Provide functional support and configuration for Oracle Cloud ERP and Oracle R12 financial modules (AR, AP, GL, Projects, Costing, Fusion Tax). Translate business requirements into functional specs, troubleshoot incidents, perform root-cause analysis, write/tune SQL, manage integrations (OIC, REST/SOAP, EDI), build reports (OTBI, BI Publisher), support updates/patching, and maintain documentation and controls for finance stakeholders.

Drive and deliver Managed Services networking engagements: qualify and scope opportunities, design and estimate large multi-site deployments (LAN/WLAN, UC, cabling), build executive relationships, present proposals, manage technical resources, produce service quotes, validate deployment hours, and maintain sales collateral and service knowledge.

Senior AWS-focused cloud solution architect who defines and scales AI & Data delivery: builds reference architectures, presales S OWs/LOEs, provides technical SME support, and performs delivery oversight and architecture reviews to ensure repeatable, governed enterprise AI and data platform outcomes.

Lead technical owner for application modernization on AWS: develop repeatable modernization offerings, author SOWs/LOEs/reference architectures, support pre-sales as SME, provide delivery oversight and architecture reviews, and drive solution playbooks and standards to scale modernization delivery while improving client outcomes.

Lead technical pre-sales for enterprise clients: design and present complex networking, security, and multicloud solutions; partner with sales and OEMs; run demos, POCs, and workshops; translate business needs into architectures and proposals; travel regionally (~25%).

Design and advise on high-performance AI data infrastructure and storage solutions. Assess AI data readiness, map NVIDIA AI Data Platform integrations, guide data pipeline and lakehouse architectures, lead presales engagements, develop partner reference architectures, deliver workshops and enablement, and support field teams on enterprise AI workload outcomes.