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

Design and build agentic AI systems for cybersecurity: architect AI cyber taskforce and production-grade agentic components, implement ranking/retrieval/search powered by LLMs, design training/evaluation frameworks, decompose security workflows, address scale/performance, and mentor engineers while contributing to engineering and operational excellence.

Early-career research-engineering fellowship to develop agentic security and auto-remediation: prototype research at the intersection of AI and formal methods, build production systems, partner with engineers and security teams, and create benchmarks and evaluation harnesses for verified-correct, policy-compliant behavior.

Design and implement a scalable data platform and integration pipeline to ingest, normalize, and index enterprise data. Build connectors, ETL/streaming pipelines, and storage/indexing strategies to support semantic search and GenAI use cases. Partner with applied AI teams, make build-vs-buy decisions, and create reusable patterns to scale integrations.

Own and build the software delivery lifecycle and CI/CD/platform systems that enable engineers and autonomous agents to build, test, deploy, and verify code securely. Implement self-hosted builders, secure GitHub Actions Runner alternatives, and infrastructure provisioning solutions.

Build and optimize data platform storage (ClickHouse, Postgres), enable on-prem deployments for enterprise customers, harden security systems, create an agent-first infrastructure and platform layer, and lead large-scale infrastructure projects across stakeholders.

Own storage, protection, and operations for relational, streaming, and analytical stores. Standardize backup, restore, retention, and encryption across Aurora/RDS, ClickHouse, and MSK. Build observability dashboards for capacity, performance, replication, lag, and cost. Create a Storage Operations Agent for incident triage, slow-query investigation, and remediation workflows. Hands-on engineering role focused on data infrastructure, automation, and agent-forward operations.

Own the full lifecycle of enterprise cybersecurity accounts, from deployment planning and integrations through adoption, renewal, and expansion. Serve as the primary technical contact for security, engineering, and IT stakeholders. Guide vulnerability management workflows, cloud and scanning-tool integrations, remediation prioritization, and compliance reporting. Translate customer feedback into product improvements and create scalable onboarding playbooks.

Own product security across the SDLC: threat modeling, secure design reviews, application security testing (code review, SAST/DAST), supply-chain/dependency hardening, CI/CD security, and building automated security tooling and guardrails while partnering with engineering and product.

Lead security engineering for an AI-native cybersecurity product: architect product security, build and evolve operational security and incident response, collaborate with ML engineers to integrate security into AI agents, implement protections and automation, and represent Cogent externally through writing and speaking.

Own and harden corporate security for endpoints, identity, and SaaS. Implement Zero Trust and device-trust patterns, build automation and tooling, run detection/response for enterprise systems, and serve as the internal security SME for corporate workflows.