Remote Senior DevOps Engineer

Logo of Gradient AI

Gradient AI

📍Remote - Worldwide

Job highlights

Summary

Join Gradient AI as a DevOps and Machine Learning Ops Engineer to help 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.

Requirements

  • 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

Responsibilities

  • 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

Preferred Qualifications

  • AWS Professional DevOps Engineer certification
  • Knowledge or experience developing and maintaining Machine Learning Operations

Benefits

  • 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

Job description

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.

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