Senior Software Engineer (Python / Insurance SaaS)

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row!

The Adventure: We're the leading AI Guidance Platform in the insurance industry today, working with some of the largest insurance carriers in the US and expanding globally. We are growing incredibly fast and have a nearly 100% success record in converting pilots to production deployments. We read batch daily data from SQL tables and present them to the user in awesomely intuitive products, which are built on a shared, unified platform. Our engineering culture values simplicity, core engineering principles, quality, honesty, transparency and strong collaboration. In this role you'll have the opportunity to help build key workflows in the system such as rules based engine that will span across all of our products.

We are currently hiring SWEs for the following departments:

• Long Term Disability (LTD): We optimize long-term disability (LTD) claims handling to achieve better outcomes for both claimants and insurers, helping workers return to the workforce sooner. We manage claims from their inception through maturity. Once fully mature, claims transition from the “Core” block to “Mature,” where they require minimal handling. Within LTD we have several teams: LTD Mature, Settlements, LTD Core, Individual Disability Insurance (IDI), Vocational Insights.
• Workflows: The Workflow Team is at the core of our product development, building and maintaining the foundational engines that streamline and optimize claims processing for our clients. Our mission is to empower Claim Examiners and Claim Examiner Managers with intelligent tools that enhance efficiency and consistency across all claim types.
• ML Infrastructure: Our mission is to accelerate EvolutionIQ's ML journey. The ML Infra team builds the infrastructure that enables MLEs to seamlessly move from experimentation to production, all within a secure and compliant environment. We provide foundational technology and processes to further speed up development for both experimental and production-ready ML workflows.

About You: An ambitious Software Engineer who will be in the driver’s seat as we design and deliver the entire customer-facing application layer for our growing line of AI solutions. You thrive on fast, secure, consistent deployments and want to be in the lead thanks to your high degree of ownership and control. Scalability and reliability are hardwired into your DNA. You love defining the standards for a consistent development life cycle.  And you’re supercharged by reducing friction in the engineering experience, making a fast impact, and having interesting, unsolved problems continually present themselves.

In this Role You Will:

• Build a complex multi-tenant enterprise SaaS application to revolutionize application workflows
• Build and maintain the backend REST server that feeds machine learning data and BI (Business Intelligence) 
• Own the entire lifecycle of designing, building and launching enterprise applications
• Work in greenfield projects where you have high levels of ownership
• Work directly with the head of product, the data science team, UX designers, and end users 
• Have a key role and ownership in shaping the future of Evolution IQ’s products – from technology choices to building the roadmap
• Provide crucial technical expertise, introduce new best practices to the team, drive consistency across all teams, and help prioritize features to increase our client impact
• Continue to grow and learn in the engineering space with a focus on business problems that use large-scale structured and unstructured datasets

Requirements:

• Extensive experience going through the full feature development life cycle: Working with product managers, deciding scope, designing a database schema for representing the data
• 5+ years of engineering experience, an expert in Python Development
• Strong Systems Design, and Relational Database experience
• Experience designing, building and launching backend architectures that support mul