Senior Release Engineer

Gradient AI:    

Gradient AI is a fast-growing startup, bringing state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) solutions to the trillion-dollar insurance industry.  Founded in 2018, we have recently raised $20M from top Insurtech investors to continue fueling our growth.  Our software-as-a-service platform provides bias-free, data-driven insights, enabling insurance companies to profitably run their business and expand their offerings to underserved people and markets.   

About the Role:    

We are looking for a release engineer to develop implementation plans and collaborate with colleagues to monitor existing systems. You will lead internal teams to project completion and perform maintenance support. You will use the monitored information for release performance data to repair and improve upon processes and share information back to the teams. 

How you will make an impact: 

• Support and improve tools and processes for continuous build, automated testing and release management 
• Manage multiple infrastructure environments’ development, test, and staging 
• Aid in the design of efficient ML architectures and development processes to support our Data Scientists and customer needs 
• Contribute to the design and implementation of the machine learning infrastructure of the company 
• Drive the efforts of releasing cutting-edge ML research into real-world products
• Support and enhance production-like environment to ensure integrated products have reliability, observability and maintainability required for customer deployment
• Evaluate and improve existing CI/CD Test pipelines and processes
• Engage with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices
• Work alongside technical leadership to organize technical roadmaps into achievable work
• Help delivery teams develop an overall strategy for deploying code 

 Skills needed to succeed:   

• 2+ years of release engineering or machine learning operations  
• Experience with continuous model training and deployment 
• Experience with Linux, Git, Bitbucket, Jenkins and artifact management 
• Ability to understand and promote customer priorities in overall solution deployments
• Troubleshoot and debug build issues with a willingness to resolve problems quickly 

Nice to have: 

• Unit Testing and ETL Operations 
• Familiarity with Python, AWS, Jira, and Docker 
• Security Scanning experience during release processes
• ETL Operations 

What We Offer:  

• A fun, team-oriented startup culture.  
• Generous stock options - we all get to own a piece of what we’re building. 
• Unlimited vacation days.  
• Flexible schedule that supports working from home. 
• Full benefits package including medical, dental, vision, 401k, and more. 
• Ample opportunities to learn and take on new responsibilities.  

We are an equal opportunity employer.