Software Engineer, Back End
Common RoomSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should have a Bachelor's degree in Computer Science or a related field and at least 4 years of relevant work experience. A solid background in algorithms, data structures, and object-oriented programming is required, along with experience in back-end development using languages like Python and Go. Knowledge of database technologies such as PostgreSQL, Elastic, and Redis is essential, as well as familiarity with cloud technologies like GCP and containerization technologies like Docker and Kubernetes. Candidates should also understand security best practices for enterprise software applications and have experience deploying software in multi-tenant SaaS environments.
Responsibilities
The Enterprise Software Engineer will develop and maintain enterprise software applications, including API, data, application, and service development. They will write clean, efficient, and maintainable code using a test-driven development process and build scalable back-end systems. Responsibilities include developing and maintaining APIs using REST or GraphQL, integrating multiple enterprise applications using a scalable framework like FastAPI, and ensuring applications adhere to industry security best practices. They will also contribute to front-end interfaces and continuously improve software development processes.
Skills
Python
Go
PostgreSQL
Elastic
Redis
GCP
Docker
Kubernetes
API design
Integration systems
Algorithms
Data structures
Object-oriented programming
Security best practices
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