Staff Cloud Infrastructure Engineer
TalaSalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, CybersecurityIndustries
Requirements
Candidates should have proven experience as a DevOps Engineer with a strong background in designing and implementing scalable infrastructure. Proficiency in public cloud platforms such as AWS, Azure, or GCP is required, along with experience using Kubernetes, Terraform, and Ansible. Familiarity with CI/CD processes and tools, as well as observability tools like Prometheus and Grafana, is essential. A solid understanding of security practices and machine learning infrastructure will be advantageous.
Responsibilities
The DevOps Engineer will partner with product teams to architect and build the foundational infrastructure for products. They will design, develop, and deploy highly available Multi-tenant SaaS solutions on public cloud networks. The role includes driving automation of infrastructure tasks, refining CI/CD pipelines, and enhancing service interfaces. Additionally, they will architect observability solutions and ensure system health through real-time alerting and error tracking, while deploying comprehensive testing frameworks.
Skills
Kubernetes
Helm
Terraform
Istio
Terraform
Ansible
Kubernetes
GitHub Actions
Cloud Build
Prometheus
Grafana
Selenium
Ema
Develops enterprise AI solutions for workforce efficiency
About Ema
Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.
Mountain View, CaliforniaHeadquarters
2023Year Founded
$59.3MTotal Funding
SERIES_ACompany Stage
Cybersecurity, AI & Machine LearningIndustries
51-200Employees