Jobs / App***
Cloud Infrastructure Engineer
App*** · Sunnyvale, CA, United States
Sunnyvale, CA, United StatesExp: 10+ yrs184,700-324,800 USD/yearlyOnsite
Remuneration
$184,700–$324,800 base pay; discretionary stock awards and employee stock purchase plan; medical and dental coverage; retirement benefits; discounted products and services; education expense reimbursement; potential discretionary bonuses, commissions, and relocation
Location
Sunnyvale, CA, United States
Visa sponsorship
Sponsors visa
Job summary
Architect and develop secure, high-performance cloud infrastructure for machine learning, generative AI, and synthetic data platforms. Design scalable data services and pipelines, own cloud services from architecture and APIs through backend implementation and infrastructure-as-code deployment, and improve distributed-system performance and reliability. The work uses AWS, Kubernetes, Terraform, Go, and modern databases, with responsibilities including cross-functional collaboration, mentoring, and technical direction.
Benefits
Medical and dental coverageRetirement benefitsDiscounted products and servicesEducation expense reimbursement, including tuitionDiscretionary restricted stock unit awardsEmployee stock purchase planPotential discretionary bonuses or commissionsPotential relocation assistance
Qualifications
- Bachelor of Science and at least 10 years of relevant industry experience
- At least 5 years building and operating cloud infrastructure or distributed systems at scale
- Hands-on experience with AWS EC2, EKS, S3, ELB, and SQS
- Experience operating Kubernetes-based container orchestration in production
- Proficiency with Terraform or similar infrastructure-as-code tools
- Strong Go programming skills for systems and service development
- Proficiency in JavaScript or Python for full-stack service development
- Production experience designing microservices architectures
- Production experience with relational databases such as PostgreSQL and NoSQL datastores
- Ability to use quantitative methods to design robust, secure, high-performance cloud services
- Experience influencing cross-functional teams to define architecture
- Exposure to Agile development methodologies
- Experience with container and serverless applications
- Experience with continuous integration and automated deployment
- Experience with CI tools such as Jenkins
- Practical application development experience on Linux
- Experience with film and game development pipelines is a plus
Responsibilities
- Architect and develop cloud infrastructure for machine learning and synthetic data platforms
- Design scalable services and pipelines for large-scale data processing and management
- Optimize data storage, retrieval, and low-latency, high-throughput computations
- Maintain security and reliability of cloud services
- Integrate algorithms and data sources with the platform
- Define system architecture and APIs
- Implement backend services and deploy infrastructure as code
- Improve service performance and scalability using data-driven analysis
- Mentor engineers and help set technical direction
- Collaborate with machine learning engineers, data scientists, and engineering teams
Skills
AWSEKSGoJavaScriptJenkinsKubernetesLinuxPostgreSQLPythonS3SQSTerraform
Degrees
Bachelor of Science
Languages
GoJavaScriptPython
Industry
Machine learning and generative AISynthetic data
Relocation
No