Top Engineering Jobs in San Francisco, CA

Build and operate Forge, a full-stack engineering platform for developing, testing, deploying, and diagnosing AI autonomy capabilities. Design composable user interfaces, typed versioned APIs, backend services, application lifecycle workflows, and AI-agent tool integrations. Ensure consistent behavior across local and remote environments while partnering with simulation, autonomy, ML, infrastructure, security, product, and design teams.

Build and operate Kubernetes-native platform services and distributed orchestration capabilities supporting AI workloads across cloud, on-premises, edge, sovereign, and air-gapped environments. Design production software, data-processing infrastructure, observability, deployment patterns, and operational standards. Establish reference architectures, reliability practices, benchmarks, and recovery procedures while partnering with autonomy, ML, simulation, infrastructure, and product teams. Provide hands-on technical leadership in distributed systems architecture, implementation, troubleshooting, performance analysis, and platform reliability.

Build and operate developer tools, internal platforms, development environments, project templates, and AI-enabled workflows for Hivemind engineering teams. Improve developer productivity through reusable tooling, paved paths, documentation, adoption efforts, and inner-source practices. Partner with developers to identify friction, measure outcomes using DORA metrics and feedback, and drive technical direction. Staff-level responsibilities include leading cross-team initiatives and shaping organization-wide developer productivity strategy.

Designs and operates scalable platform infrastructure across cloud, on-premise, and hybrid environments. Builds infrastructure-as-code frameworks, CI/CD pipelines, developer tooling, automation, observability, and secure deployment patterns. Partners with engineering, security, and infrastructure teams to improve reliability, resilience, compliance, and developer productivity across mission-critical systems.

Design, deploy, and maintain resilient hybrid network infrastructure across data centers, remote sites, and public clouds. Manage routing, switching, WLAN, firewalls, WAN, VPN, secure connectivity, network automation, capacity planning, monitoring, troubleshooting, upgrades, patching, and vulnerability remediation. Collaborate with cloud, platform, security, and infrastructure teams, engage vendors, document operations, mentor teams, participate in on-call rotations, and support classified and unclassified environments.

Leads and builds the Shared Services Engineering team, overseeing hiring, coaching, technical direction, architecture, delivery, and production operations. Owns the roadmap for shared services, SDKs, APIs, authentication, telemetry integrations, and customer-facing applications. Establishes secure, reliable interfaces and partners across engineering, product, and organizational leadership to align priorities, manage tradeoffs, and drive adoption of reusable capabilities.

Build and operate full-stack applications, backend services, SDKs, APIs, and product integrations for Shield AI’s shared services platform. Own solutions from design through production support, establish secure and reliable interfaces, collaborate with product and engineering teams, and contribute to architecture and technical direction. Work includes authentication, telemetry integrations, customer-facing portals, reusable capabilities, and public APIs.

Owns the architecture of Hivemind Forge, an AI development ecosystem for building, training, evaluating, optimizing, and deploying autonomous capabilities. Defines system, software, data, API, SDK, MLOps, simulation, and deployment architectures across cloud, HPC, on-premises, classified, and disconnected environments. Establishes traceability, provenance, reproducibility, security, and human oversight for AI-assisted workflows while guiding cross-functional engineering teams and resolving architectural issues.

Lead the establishment and maturation of the SRE function across cloud infrastructure and platform services. Define reliability targets, build observability and automation, lead incident response and root-cause analysis, improve resilience and recovery, and reduce operational toil. Partner with product and platform teams on reliability-focused design, establish incident practices, manage the SRE roadmap, and mentor engineers across Cloud Engineering and Reliability.

Designs, builds, and operates AWS cloud infrastructure and shared development environments. Automates provisioning and lifecycle management with Terraform, supports containerized workloads, improves observability and reliability, troubleshoots infrastructure issues, implements IAM and security controls, and manages cloud cost, capacity, and compliance requirements.