Senior Software Engineer (Python / AI Insurance SaaS) at EvolutionIQ

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

225000.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Python Development, Systems Design, Relational Database, Backend Architecture, Multi-Tenant Applications, Agile Development, Technical Design Documents, Code Reviews, Collaboration, Problem Solving, Communication, Client Engagement, Best Practices, Feature Prioritization, Data Science, Business Intelligence

Industry

Software Development

Description

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. 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 multi-tenant, multi-user scenarios Ability to remain agile and move between rapid prototyping and stable production development Ability to write technical design documents, perform code reviews, and maintain state of the art engineering practices You know the critical questions to ask in order to understand a client’s business problem and can show the business impact of your technical solutions Team player who is solutions-oriented and exudes our ambitious, collaborative, and empathetic values You have crisp written and verbal communication skills and the ability to effectively correspond between technical and non-technical audiences A self-starter mindset with an eagerness to solve previously unsolved problems Excellent collaboration skills and are open to giving and receiving critical feedback across teams Work-life, Culture & Perks: Compensation: The base salary range is $175-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities

You will build a complex multi-tenant enterprise SaaS application and maintain the backend REST server that supports machine learning data and business intelligence. You will own the entire lifecycle of designing, building, and launching enterprise applications while collaborating with various teams.