We are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly.<br><br>Responsibilities:<br>• Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure.<br>• Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently.<br>• Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams.<br>• Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments.<br>• Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability.<br>• Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs.<br>• Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery.<br>• Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap.<br>• Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
<p>We are looking for a Sr.DevOps Engineer to strengthen our engineering organization in San Francisco, California. In this role, you will improve the foundation that supports application delivery, platform reliability, and developer productivity across cloud-based systems. You will work closely with engineering partners to create scalable infrastructure, streamline release processes, and build dependable operational practices that support continued growth.</p><p><br></p><p>Responsibilities:</p><p>• Architect and maintain cloud infrastructure using infrastructure-as-code practices that promote consistency, scalability, and operational simplicity.</p><p>• Create and refine automated delivery pipelines to support dependable, efficient releases across multiple services and environments.</p><p>• Establish repeatable deployment approaches for serverless applications, container-based platforms, and orchestrated workflows.</p><p>• Build internal automation and developer tools that reduce manual effort and help backend and machine learning teams work more efficiently.</p><p>• Enhance development, testing, and staging environments to improve workflow speed and reduce friction during software delivery.</p><p>• Define strong monitoring and observability practices across logs, metrics, and tracing to improve system visibility and troubleshooting.</p><p>• Investigate reliability, latency, and performance issues in distributed environments and partner with engineers to implement lasting improvements.</p><p>• Strengthen operational readiness by supporting incident response, contributing to post-incident reviews, and turning findings into better tooling and processes.</p><p>• Integrate security and compliance controls into infrastructure and deployment workflows, including access management, patching, and vulnerability remediation.</p>
We are looking for a Software Engineer to join a collaborative engineering team in Burlingame, California, supporting the design and delivery of modern cloud-based solutions. This Long-term Contract position offers the opportunity to shape scalable services, contribute to architecture decisions, and build reliable integrations between field operations and business systems. The role suits an engineer who enjoys hands-on development, cross-functional collaboration, and creating practical software solutions that can evolve with changing product needs.<br><br>Responsibilities:<br>• Lead the design and implementation of scalable software components across data processing, backend services, and orchestration layers.<br>• Build and enhance cloud-native applications that support the exchange of information between operational platforms and business systems.<br>• Create, document, and maintain APIs and microservices that connect devices, applications, and distributed services.<br>• Develop web-based interfaces and service-to-service workflows by integrating with cloud API endpoints.<br>• Investigate production issues, resolve technical problems, and improve overall platform stability and performance.<br>• Participate in design discussions, code reviews, and testing activities to maintain high engineering standards.<br>• Partner with architects, engineers, and business stakeholders to evaluate feature requests, estimate delivery effort, and validate solutions.<br>• Support field validation efforts by working with cross-functional teams to test and refine software in live construction environments.<br>• Mentor less experienced engineers and promote strong collaboration, sound development practices, and continuous improvement within the team.
We are looking for a Software Engineer to join a collaborative engineering team in Burlingame, California, supporting the design and delivery of modern software solutions that connect field operations with back-office systems. This is a Long-term Contract position offering the opportunity to contribute to cloud-based services, scalable APIs, and user-facing applications while working in an Agile environment. The role calls for a strong technical contributor who can help shape architecture decisions, improve system reliability, and partner with engineers and stakeholders across teams to deliver practical, high-impact solutions.<br><br>Responsibilities:<br>• Lead the design and implementation of scalable software components across data pipelines, service layers, and orchestration workflows.<br>• Build and enhance cloud-based services that collect, process, and persist data for connected platforms and applications.<br>• Create and maintain APIs within a microservices architecture to support communication between IoT-enabled systems and end-user tools.<br>• Develop web interfaces and service-to-service integrations by consuming cloud API endpoints and translating business needs into technical solutions.<br>• Investigate production issues, diagnose platform problems, and deliver effective fixes to improve system performance and stability.<br>• Participate in architectural discussions, code reviews, and testing activities to ensure software quality and alignment with engineering standards.<br>• Collaborate with cross-functional engineering teams and business stakeholders to assess new features, estimate effort, and validate solutions in real-world environments, including construction site settings when needed.<br>• Mentor less experienced engineers by sharing development best practices, encouraging strong teamwork, and supporting technical growth.<br>• Contribute to event-driven system design and help advance the adoption of modern cloud technologies and engineering approaches.<br>• Perform unit and system-level validation to confirm that enhancements and changes meet functional and reliability expectations.