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

Design, build, and maintain enterprise-grade Python applications and data pipelines. Develop production-ready, secure, high-performance code, optimize large-scale data processing, produce architecture artifacts, support CI/CD and incident response, and collaborate with cross-functional teams to improve reliability and scalability.

Design, build, and operate enterprise integrations on Dell Boomi AtomSphere. Own full lifecycle from analysis and design through development, deployment, CI/CD, monitoring, and support. Implement API management, secure authentication (OAuth2, mTLS), event-driven patterns, runtime configuration, migration from legacy middleware, performance tuning, documentation, and mentor junior engineers.

Develop and customize Guidewire InsuranceSuite (PolicyCenter, BillingCenter, ClaimCenter) using Gosu. Design product model changes, build integrations, implement rules, support Guidewire Cloud upgrades, optimize performance, create automated tests, and troubleshoot production issues while collaborating with cross-functional stakeholders and mentoring junior engineers.

Design, develop, and support Windchill PLM customizations and integrations using Windchill Java API. Configure workflows, lifecycle templates, Info*Engine tasks, client extensions, reports, and migration scripts. Optimize performance, document architecture and runbooks, provide post-go-live support, and mentor junior engineers while adhering to PTC best practices.

Design, deploy, and operate enterprise OCI landing zones and networking; implement IaC with Terraform; manage compute, storage, containers (OKE), and databases; build CI/CD pipelines; implement observability and security controls; optimize costs; design DR/BC solutions; automate with Python/Bash; mentor junior engineers.

Lead design and governance of LLM application architectures, prompt/agent patterns, RAG pipelines, evaluation frameworks, tooling, safety guardrails, and mentor teams to deploy robust, production LLM-powered products.

Design, build, and operate scalable GPU/accelerator infrastructure for large-scale training and inference. Implement scheduling, storage, networking (RDMA/InfiniBand/NCCL), observability, fault tolerance, security, and developer tooling. Partner with ML teams for capacity planning, cost optimization, automation, and operational runbooks.

Design, deploy, and operate enterprise-grade Red Hat OpenShift clusters across on-prem and cloud. Automate lifecycle with GitOps/IaC, onboard developers, manage networking/storage/observability, harden security, run CI/CD pipelines, perform DR/upgrades, tune autoscaling, and mentor junior engineers.

Design and govern end-to-end cloud-native solutions across compute, networking, storage, identity, and observability. Define landing zones, account and tagging strategies, reference architectures, and security/compliance controls. Lead migrations, modernization, cost-optimization/FinOps, architecture reviews, and mentor engineering teams while producing architecture artifacts and aligning with enterprise standards.

Design, build, deploy, and operate enterprise integrations on MuleSoft Anypoint Platform. Own API design, flow development, runtime configuration, security, CI/CD, event-driven integrations, monitoring, legacy migration, documentation, and mentoring, while collaborating with architects and stakeholders.