Sr. Infrastructure Engineer
Platform ScienceSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, AI & Machine LearningIndustries
Requirements
Candidates should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. They must possess at least 10 years of relevant work experience in system design and architecting enterprise platforms. Proven experience in building scalable platforms and enterprise-level applications is essential, along with expertise in cloud platforms like Azure, GCP, or AWS and a strong understanding of cloud architecture. Solid experience with document and knowledge management systems is also required.
Responsibilities
The Platform and Infrastructure Team Leader will lead the design and architecture of complex, scalable platforms involving diverse data ingestion and integration pipelines. They will collaborate across back-end, front-end, and platform teams to ensure a cohesive architecture that supports enterprise-level functionality. The leader will build and maintain highly scalable back-end systems using appropriate technologies such as Python and Go, develop and integrate APIs, and ensure data architecture supports multiple formats and use cases. They will oversee the deployment of solutions in a multi-tenant SaaS environment, ensure the architecture meets non-functional requirements, provide technical leadership, and continuously monitor and improve architecture to align with emerging trends in AI and SaaS platforms.
Skills
System Design
Cloud Architecture
Azure
GCP
AWS
Python
Go
API Development
Data Integration
SaaS
User Experience
System Security
Document Management
Knowledge Management
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.
Key Metrics
Mountain View, CaliforniaHeadquarters
2023Year Founded
$59.3MTotal Funding
SERIES_ACompany Stage
Cybersecurity, AI & Machine LearningIndustries
51-200Employees