Senior DevOps Engineer
Gradient AI:
Gradient AI is a leading provider of AI solutions for the Group Health and P&C insurance industries. Our solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Gradient AI’s SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims, providing insurers with high resolution, data-driven insights. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. Founded in 2018, Gradient has experienced strong growth every year, and recently raised $56 million in Series C funding from top Insurtech investors.
About the Role:
If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you. At Gradient AI customer experience is at the forefront of everything we do. We are looking for a DevOps and Machine Learning Ops Engineer to help us build functional systems that improve customer experience. You will be responsible for deploying product updates, identifying production issues, and implementing integrations that meet our customers’ needs.
How you will make an impact:
Building and setting up new development tools and infrastructure
Understanding the needs of stakeholders and conveying this to developers
Designing, automating and improving development and release processes
Developing, updating and managing Infrastructure as Code
Ensuring that systems are safe and secure against cybersecurity threats
Identifying technical problems and developing software updates
Collaborating with software developers and software engineers to ensure that development follows established processes and works as intended
Mapping out projects and being involved in project management decisions
Skills needed to succeed:
5+ years of experience in a DevOps role
BS in Computer Science, Engineering, or relevant field
Demonstrated ability working with Infrastructure as Code using Terraform, Cloudformation, Ansible, or similar
Comfortable working with Kubernetes and ECS
Experience with Amazon Web Services infrastructure management
Strong understanding of application and environment security
Proficient in scripting to automate recurring tasks
Experience managing a Business Intelligence Service like Tableau
Nice to Have:
AWS Professional DevOps Engineer certification
Knowledge or experience developing and maintaining Machine Learning 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.
About the job
Apply for this position
Senior DevOps Engineer
Gradient AI:
Gradient AI is a leading provider of AI solutions for the Group Health and P&C insurance industries. Our solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Gradient AI’s SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims, providing insurers with high resolution, data-driven insights. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. Founded in 2018, Gradient has experienced strong growth every year, and recently raised $56 million in Series C funding from top Insurtech investors.
About the Role:
If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you. At Gradient AI customer experience is at the forefront of everything we do. We are looking for a DevOps and Machine Learning Ops Engineer to help us build functional systems that improve customer experience. You will be responsible for deploying product updates, identifying production issues, and implementing integrations that meet our customers’ needs.
How you will make an impact:
Building and setting up new development tools and infrastructure
Understanding the needs of stakeholders and conveying this to developers
Designing, automating and improving development and release processes
Developing, updating and managing Infrastructure as Code
Ensuring that systems are safe and secure against cybersecurity threats
Identifying technical problems and developing software updates
Collaborating with software developers and software engineers to ensure that development follows established processes and works as intended
Mapping out projects and being involved in project management decisions
Skills needed to succeed:
5+ years of experience in a DevOps role
BS in Computer Science, Engineering, or relevant field
Demonstrated ability working with Infrastructure as Code using Terraform, Cloudformation, Ansible, or similar
Comfortable working with Kubernetes and ECS
Experience with Amazon Web Services infrastructure management
Strong understanding of application and environment security
Proficient in scripting to automate recurring tasks
Experience managing a Business Intelligence Service like Tableau
Nice to Have:
AWS Professional DevOps Engineer certification
Knowledge or experience developing and maintaining Machine Learning 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.