Software Engineering Intern

Department: Tech

Location: New York City - Office

Compensation: $5K – $7K once

Employment Type: FullTime

Who We Are

Coverdash is the fastest growing startup and SMB focused-insurtech agency, powered by the industry’s most advanced embedded technology and partnership strategies. Our mission is to help growing businesses purchase and manage business insurance from the places they trust most. Our simple and powerful embedded technology helps partners offer insurance to existing customers with a single line of code.

Coverdash was founded by a team with deep fintech and financial services experience and is the first insurance-as-a-service platform. We have raised over $16 million to date from top investors including NYCA (Affirm, Fundbox, Acorns, Gemini), Bling Capital (Lyft, Square, Instacart, Palantir), World Insurance Labs (HubSpot, DocuSign, Twitter), Expansion VC (Postmates, AngelList, Lemonade).

Headquartered at our brand new state-of-the-art office in the heart of NYC, Coverdash remains a remote friendly working environment. Our rapidly growing team is a smart, dynamic, and fun-loving group privileged to be collaborating with some of the world’s most innovative embedded partners.

The Role

As a Software Engineering intern, you’ll help drive our overall technical architecture and engineering practices. You will also work on the team’s hardest problems by building high-quality, architecturally sound systems. The ideal candidate can translate business needs into workable technology solutions.

You will be working on building the software that powers our Quoting Engine, User Dashboard servicing API’s, Internal Agency Management tools, AI tools, current and future integrations with various 3rd party API’s, and our complex internal relational database.

We are looking for someone who can thrive in a fast-paced startup environment. You should feel comfortable quickly drafting up proof of concept software in a reliable manner.

This is a paid internship based in our Flatiron NYC office. The start date will be the beginning of summer at an agreed upon date.

Ideal Candidate

• One or more object-oriented languages (e.g., Java, C++, Python) (Preferably Java)

• Building micro services and familiar with Spring architecture

• Distributed service-oriented architecture

• Comfort integrating with complex 3rd party API’s

• Comfort working with complex Data Models/relational databases (preferably PostgreSQL)

• Highly available and highly scalable systems

• Taking a project from scoping requirements through actual launch of the project

Basic Qualifications

• Actively pursuing a Bachelor’s Degree in Computer Science or related field, with an expected graduation of Spring 2026

• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Compensation
Our salary ranges are based on paying competitively for our size and industry and are one part of our total compensation package that also includes benefits and other perks.

Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skill set, location, and business need. The base pay range provided is subject to change and may be modified in the future.

Coverdash is an equal opportunity workplace and an affirmative action employer. We welcome all qualified applicants regardless of race, color, ancestry, religion, sex (including pregnancy and related conditions), national origin, sexual orientation, age, marital status, disability (physical or mental), gender identity, gender expression, genetic information, veteran status, citizenship, immigration status, or any other classification, category or characteristic protected by applicable federal, state or local laws. We understand the importance of creating a more diverse and inclusive workplace and celebrate our employees for their differences.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.