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

Design, build, and maintain scalable Java (11/17) Spring Boot microservices and responsive front-end apps (React/Angular/Vue). Implement REST APIs, event-driven integrations, CI/CD, automated tests, cloud deployments (AWS/Azure/GCP), observability, and performance tuning while collaborating in Agile teams and producing technical documentation.

Operate and maintain enterprise PLM platforms (Windchill/Teamcenter): install, configure, upgrade, tune performance, ensure HA/DR, manage integrations and CAD data, automate with scripting, monitor health, provide post-go-live support, document systems, and mentor junior engineers.

Design, deploy, and operate secure, scalable AWS environments using infrastructure-as-code, CI/CD, observability, and automation. Lead multi-account architectures, container platforms (EKS/ECS), data services, security posture, cost optimization, disaster recovery, and mentor engineers while improving production reliability and operational efficiency.

Build and maintain enterprise-grade digital experiences on AEM Sites and Assets. Develop components, templates, OSGi services, Sling models, and front-end experiences. Implement headless/hybrid delivery, CI/CD pipelines, integrations with Adobe Experience Cloud, optimize performance and Dispatcher, troubleshoot production across author/publish/Dispatcher tiers, and collaborate with authors, designers, and product owners.

Design, build, deploy, and support Oracle Integration Cloud integrations connecting Oracle Cloud Applications, on-premises systems, and third-party platforms. Develop OIC flows, adapters, VBCS apps, API management, error-handling, performance optimizations, migrations from SOA, and provide post-go-live support and documentation. Mentor juniors and enforce integration standards.

Design, optimize, and deploy ML models for resource-constrained edge devices. Perform model compression, quantization, pruning, and hardware-aware tuning. Build cross-platform inference runtimes, secure on-device update/versioning workflows, telemetry and benchmarking suites, and hybrid edge-cloud architectures. Collaborate with hardware, firmware, and product teams and maintain documentation while driving responsible AI and on-device privacy practices.

Design and deliver end-to-end Industrial IoT systems: edge data acquisition from PLCs/SCADA, secure connectivity, cloud ingestion, real-time analytics, dashboards, OT/IT integration, device management, and mentorship of junior engineers while ensuring industrial cybersecurity and operational documentation.

Design, build, and operate enterprise observability platforms (metrics, logs, traces) using Prometheus/Grafana/Datadog and OpenTelemetry. Define SLOs/SLIs, implement dashboards and alerts, manage storage/retention, integrate with CI/CD and incident tools, drive cost and cardinality discipline, mentor teams, and maintain runbooks and onboarding for the observability platform.

Build and maintain production-grade network automation using Python and network APIs across multi-vendor environments. Design CI/CD pipelines, infrastructure-as-code, observability and testing workflows, implement source-of-truth platforms, automate compliance and self-healing intent-based patterns, and mentor engineers while collaborating with cross-functional teams.

Own architecture, installation, configuration, upgrades, and operations of PeopleSoft environments. Lead PeopleTools/PUM upgrades, manage app servers, search, DB connectivity, HA/DR, automation (shell/Python/Ansible), monitoring, incident triage, documentation, and mentor junior engineers.