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

Performs automated and manual testing of enterprise APIs and integration workflows. Develops contract, schema, endpoint, negative, boundary, regression, and end-to-end tests; validates authentication, payloads, accessibility, and API version changes. Documents defects and test results, maintains traceability artifacts, supports CI/CD test integration, and collaborates with development, integration, cybersecurity, and product teams in an Agile environment.

Provides Tier 3 technical escalation for complex API, integration, authentication, schema, and data-flow issues in enterprise federal and DoD-aligned environments. Responsibilities include incident triage, log analysis, root-cause investigation, API specification validation, testing, documentation, change control participation, monitoring improvements, and collaboration with development, cloud, cybersecurity, and integration teams.

Lead architecture, implementation, and lifecycle management for secure, scalable DoW enterprise platforms. Oversee platform operations, governance, disaster recovery, automation, configuration management, and multi-environment support. Provide technical leadership to distributed engineering teams and stakeholders while ensuring compliance with Zero Trust, DISA STIGs, RMF, ATO, IL4, and IL5 requirements. The role requires AWS GovCloud expertise, CI/CD and IaC experience, low-code platform knowledge, an active DoW Secret clearance, and IAT certification.

Leads cybersecurity governance and cloud security operations for federal and DoD-aligned environments. Manages multidisciplinary teams, cloud security strategy, risk assessments, incident response, vulnerability remediation, continuous monitoring, compliance, access controls, and audit readiness. Oversees alignment with NIST, RMF, DoD standards, Zero Trust principles, and secure cloud deployments while presenting cyber risk metrics and recommendations to senior stakeholders.

Manage enterprise IAM operations across cloud and on-premises environments, including SSO, MFA, identity governance, access controls, AWS IAM policies, access reviews, and privileged access assessments. Support Zero Trust implementation, identity-related incident response, DoD compliance alignment, troubleshooting, roadmap planning, documentation, and governance procedures. The role requires an active Top Secret clearance, Security+ certification, a bachelor’s degree, and at least six years of IAM or authentication engineering experience.

Leads software product vision, strategy, roadmaps, backlog prioritization, sprint planning, user story development, stakeholder engagement, and end-to-end product delivery. Partners with engineering, UX, QA, security, operations, PMO, and mission stakeholders in a federal and DoD-aligned environment. Uses user feedback, operational metrics, and mission needs to prioritize features, support releases, maintain product documentation, and promote Agile practices.

Plans, coordinates, executes, and documents enterprise disaster recovery and COOP exercises across federal and DoD-aligned IT environments. Validates RTO/RPO objectives, coordinates engineering and operations teams, evaluates recovery performance, prepares after-action reports and corrective action plans, tracks remediation, and maintains continuity documentation. Ensures alignment with NIST, DoD, federal, cybersecurity, compliance, and enterprise resilience requirements.

Maintains enterprise databases in secure federal and DoD-aligned environments. Responsibilities include installation, patching, upgrades, performance tuning, indexing, high availability, clustering, replication, backup and recovery, RMF control support, STIG implementation, vulnerability remediation, documentation, deployment support, and mentoring junior DBAs.

Designs and governs enterprise application architectures, reference patterns, shared services, integrations, and modernization pathways across federal and DoD-aligned environments. The role leads architecture reviews, ensures AWS GovCloud IL5 and Zero Trust alignment, supports application portfolio mapping, evaluates technologies, and coordinates application, data, integration, cloud, cybersecurity, and development teams. It requires extensive enterprise architecture experience, active Top Secret clearance, and ITIL v4 and Security+ certifications.

Designs AI/ML pilots, predictive analytics and anomaly detection models, behavioral analytics, content classification, personalization algorithms, and end-to-end machine learning pipelines. Develops prototypes and production-ready solutions, evaluates AI technologies, supports experimentation, integrates ML insights into dashboards, and ensures model governance, explainability, bias mitigation, accuracy, and security compliance in federal and DoD-aligned environments.