Staff AI Cloud Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Define, evolve, and promote architecture and engineering practices across multiple engineering teams, ensuring standards remain practical and consistently adopted.
• Partner with Engineering Managers and technical leads on complex system-design decisions, architecture reviews, technical RFCs, and critical code reviews.
• Design, build, and ship production systems spanning AI applications, backend services, cloud infrastructure, distributed systems, and full-stack applications.
• Lead the development and operation of production AI systems, including model integration, inference, orchestration, retrieval, evaluation, monitoring, and related infrastructure.
• Establish reusable platforms, libraries, reference implementations, and standardized engineering patterns that help teams deliver efficiently and reliably.
• Improve CI/CD pipelines, automated testing, observability, security, system reliability, and overall developer experience.
• Contribute directly to cloud infrastructure and help diagnose and resolve complex production and operational challenges.
• Establish effective release lifecycle practices and help teams transition from ad hoc feature development to scalable, robust engineering systems.
• Identify recurring architectural issues, technical duplication, and inefficient practices, then develop sustainable solutions that improve engineering velocity and operational quality.
• Mentor engineers through hands-on technical leadership, knowledge sharing, and constructive feedback while helping raise the overall engineering bar.
• Work across teams without relying on formal authority, building alignment and driving technical initiatives from concept through implementation.
• Remain accountable for ensuring that engineering standards and technical guardrails continue to deliver value after they are introduced.

Requirements

• 15+ years of experience in software architecture, engineering, or a closely related technical discipline, with a strong track record of designing and operating production systems.
• Experience as a founding or early-stage engineer in a startup or high-growth environment, with demonstrated ability to scale systems, processes, and engineering practices.
• Proven ability to influence multiple teams and drive technical decisions through expertise and collaboration rather than formal authority.
• Deep experience across AI systems, backend or distributed systems, infrastructure, and cloud architecture.
• Strong practical understanding of modern AI technologies, including foundation models, inference, retrieval, orchestration, evaluation, latency optimization, and cost management.
• Hands-on experience building and operating production software systems at scale, with a strong understanding of reliability and operational excellence.
• Strong full-stack engineering capabilities and experience working across multiple layers of modern software platforms.
• Proficiency with technologies such as Python, Go, TypeScript, Kubernetes, and major cloud platforms.
• Demonstrated ability to work independently, navigate ambiguity, identify technical risks, and take ownership of complex initiatives from inception through delivery.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts and build alignment among senior technical stakeholders.
• A hands-on leadership mindset, combining architectural thinking with a willingness to write production code and solve difficult engineering problems directly.

Benefits

• Annual gross base salary range of $180,000–$225,000, plus variable compensation.
• Annual bonus eligibility for non-sales roles, based on factors including individual and company performance.
• Compensation determined using objective market benchmarks and adjusted according to relevant skills, experience, qualifications, education, and geographic location.
• Generous paid parental leave.
• Flexible time-off policies.
• Spending accounts to support employee needs.
• Medical, dental, and vision insurance.
• Sabbatical opportunities after five years.
• Remote-first flexibility and a distributed working environment.
• Opportunities to develop technical and professional skills while contributing to innovative AI and cloud initiatives.
• A diverse, equitable, and inclusive workplace that values authenticity and collaboration.