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

Manage cloud security across AWS, Azure, and classified environments. Design and maintain secure software development practices, automated CI/CD pipelines, infrastructure-as-code, compliance-as-code, access controls, observability, and container security. Collaborate with engineering teams to embed security throughout the software lifecycle, support critical applications, and communicate security findings to stakeholders.

Leads a software engineering team building backend services, APIs, and product integrations. Responsibilities include people management, technical direction, architecture reviews, delivery planning, vendor coordination, API and integration standards, testing, observability, release readiness, and production support. The manager partners with Product, DevOps, QA, Security, Program Management, customers, and external technology vendors to deliver secure, scalable, and reliable software.

Leads strategy, roadmap, and execution for the company’s core platform. Manages and develops Product Managers, coordinates cross-functional delivery, prioritizes platform investments, and establishes product operating rhythms. Partners with Engineering, Design, Research, Strategy, and Leadership to ensure scalability, reliability, customer value, and business alignment. The role also serves as product program lead, overseeing dependencies, delivery planning, stakeholder alignment, platform performance reporting, and roadmap risk management.

Designs and maintains scalable AWS infrastructure, Kubernetes environments, Terraform-based Infrastructure as Code, and CI/CD pipelines. The role integrates MLOps and DevSecOps practices, automates deployment and administration workflows, monitors system performance, supports incident response, and improves platform reliability, security, availability, and cost efficiency. Collaboration with software developers, platform teams, and cross-functional stakeholders is central to the position.

Own full-cycle recruiting for technical Engineering and Technology roles. Partner with senior engineering leaders, develop direct-sourcing strategies, assess technical talent, advise on market conditions, manage multiple searches, and deliver a high-touch candidate experience. Use recruiting data and pipeline insights to guide decisions, navigate ambiguity, maintain process discipline, and improve recruiting practices.

Conduct AI and machine learning research focused on physics-driven modeling, simulation, reinforcement learning, multi-agent systems, and hybrid models. Develop and integrate novel algorithms into prototypes and production AI systems. Collaborate with research, engineering, and product teams, contribute to technical publications and patent disclosures, and support mission-critical modeling and decision-support solutions for space operations.

Develops, tests, and validates signal-processing models, numerical algorithms, simulations, prototypes, and data analyses for space systems. Works with GNSS, communications, RF, radar, and other sensing data; collaborates with engineering, data science, and astrodynamics teams; supports product development, proposals, demonstrations, customer engagement, technical publications, and industry events. A minimum Secret clearance is required.