This is a fully remote opportunity.
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.
What the Team is Saying
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What We Do
Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry’s largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights.
Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.
Why Work With Us
Gradient is a fast-growing startup where you can make an impact, learn constantly, and grow quickly. We’re bringing AI and machine learning into the insurance space in new ways, and every team member plays a role in that innovation.
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Gradient AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Working from the office is optional if you are local to our Boston office. For employees who do come in, it’s usually T/W/Th to focus on group collaboration.
