Sr. Infrastructure Engineer
Platform ScienceSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates must possess a Bachelor's degree in Computer Science or a related field. They should have 2-8 years of experience in Platform Engineering, with a strong understanding of microservice architecture, deployment strategies, and system security.
Responsibilities
The Platform Engineer will assist in designing, implementing, and maintaining scalable, microservices-based architectures using Docker and Kubernetes across GCP, Azure, and AWS. They will build and optimize cloud-based infrastructure and platform components using Golang and Python, ensuring scalability, cost-efficiency, and low latency. The role involves designing and testing platform components for data ingestion, knowledge base indexing and search, application connectivity, workflow automation, and ML operations. The engineer will implement monitoring and observability solutions for real-time visibility and system health, collaborate with senior engineers to enhance system reliability, and support troubleshooting of platform and infrastructure-related issues. Additionally, they will assist in implementing DevOps practices, tools, and CI/CD pipelines, and participate in on-call rotations and incident response.
Skills
Docker
Kubernetes
Golang
Python
GCP
Azure
AWS
Microservices
Data Ingestion
Knowledge Base Indexing
Application Connectivity
Workflow Automation
ML Operations
Monitoring
Observability
DevOps
CI/CD
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