Staff Software Engineer
To see similar active jobs please follow this link: Remote Development jobs
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.
How will you make an impact:
Evolve a rapidly growing predictive analytics application into an enterprise-grade solution by designing for high availability/uptime, scalability, and maintainability.
Develop our internal and external APIs to enhance security measures and facilitate data accessibility.
Evangelize and implement best practices regarding automated testing and streamlining deployments.
Provide coaching, mentoring, and technical leadership to peer engineers.
Build alignment with product and business stakeholders to develop integrated product roadmaps.
Work closely with our data science and data engineering teams to design and develop robust ML Ops pipelines.
Skills needed to succeed:
7+ years of professional software engineering experience.
Proven ability to design, implement, and maintain resilient, high availability, highly scalable enterprise services/applications.
Ability to work cross-functionally with product management or other stakeholders to translate business requirements into technical requirements.
Experience with Python (or similar scripting language), SQL, Bash Scripting, and Git; understanding of containerization (Docker, Kubernetes) is a bonus.
Experience with CI/CD, SQL databases, RESTful API design, service-oriented architectures, and automated testing.
Experience or interest in working in an Agile environment.
Exposure with AWS tools or similar cloud tools.
Exposure to Databricks or other MLOps tools is a nice to have.
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.
Chosen as a top place to work and best paying company by BuiltInBoston!
About the job
Staff Software Engineer
To see similar active jobs please follow this link: Remote Development jobs
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.
How will you make an impact:
Evolve a rapidly growing predictive analytics application into an enterprise-grade solution by designing for high availability/uptime, scalability, and maintainability.
Develop our internal and external APIs to enhance security measures and facilitate data accessibility.
Evangelize and implement best practices regarding automated testing and streamlining deployments.
Provide coaching, mentoring, and technical leadership to peer engineers.
Build alignment with product and business stakeholders to develop integrated product roadmaps.
Work closely with our data science and data engineering teams to design and develop robust ML Ops pipelines.
Skills needed to succeed:
7+ years of professional software engineering experience.
Proven ability to design, implement, and maintain resilient, high availability, highly scalable enterprise services/applications.
Ability to work cross-functionally with product management or other stakeholders to translate business requirements into technical requirements.
Experience with Python (or similar scripting language), SQL, Bash Scripting, and Git; understanding of containerization (Docker, Kubernetes) is a bonus.
Experience with CI/CD, SQL databases, RESTful API design, service-oriented architectures, and automated testing.
Experience or interest in working in an Agile environment.
Exposure with AWS tools or similar cloud tools.
Exposure to Databricks or other MLOps tools is a nice to have.
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.
Chosen as a top place to work and best paying company by BuiltInBoston!