Director of Engineering - Platform

What you’ll do: 

As part of our team, you will lead the architecture and implementation of web services, APIs, data stores, and infrastructure for the Ethic platform, our client facing portal application. You’ll get to work with the latest technology paradigms on Google Cloud including modularity, functional programming and reactive applications. More specifically you’ll: 

• Architect and build high-performance, responsive web services and APIs to support our client-facing asset management platforms 
• Model the business data into the right data store 
• Add automations to the infrastructure 
• Hands-on code, write unit testing and conduct code reviews 
• Work directly with Ethic's engineering, product, design, and business teams throughout all phases of the software development lifecycle

Who you are: 

• You identify with our company Principles that define our culture, guide our actions, and allow us to do our best work:
• We are In Service of others - our clients, our colleagues, the company, and the world.
• We strive to be World Class - the best at what we do.
• You’re a problem solver, able to and interested in learning new things quickly to solve unique and challenging problems.
• You are driven, possess a strong work ethic, a bias towards action, and a desire to win as a team.
• You can communicate clearly and concisely in a variety of mediums.
• You operate with high integrity, doing the right thing when no one is looking.
• You take a long-term view towards contributing to a strong team with a culture of feedback.
• You’re passionate about positively impacting the future of our planet and humanity.

What you’ll bring to the table: 

• 7+ years of working experience
• Expert knowledge of Java 
• Expert knowledge of RDBMS. NoSQL experience a plus 
• Strong understanding of functional programming paradigms 
• Understand the unique set of performance challenges, concerns, and tradeoffs inherent to web applications 
• Familiarity with unit testing tools 
• Proven track record delivering performant web applications
• Strong knowledge of data structures, algorithms, and software architecture 
• Passionate about software and technology

About Ethic:

We at Ethic partner with advisors and institutions to deliver personalized, values-aligned, and tax-smart investing. Our technology enables sophisticated investment solutions through a simple and engaging client experience. We empower advisors and institutions to deliver investments that reflect what matters most to them and their clients.

We're backed by investors including Oak HC/FT, Nyca Partners, Fidelity, UBS, Jordan Park Group, and Kapor Capital. We are an SEC Registered Investment Adviser based in New York City.

Our team is committed to fostering an environment that brings together diverse voices, perspectives, and lived experiences. We are striving to drive positive outcomes for investors and to contribute to a more sustainable and prosperous future for the world.

Compensation & Benefits: 

Compensation at Ethic is a combination of base salary, equity (stock options) in the company, and benefits. 

The base salary for this role will range from $250,000-$270,000 per year, commensurate with experience. 

Our benefits package includes; 

• Medical, dental & vision insurance – premiums 100% covered by Ethic (includes dependents) 
• 401k with sustainable investment options and a 3.5% employer match
• Unlimited paid time off 
• 16-weeks of paid parental leave 
• An annual $600 wellness & education stipend
• Sponsored employee resource groups
• Regular lunch & learns and volunteering opportunities
• A fully-stocked office in lower Manhattan + the flexibility to regularly work remotely

Location: New York, NY (in-office at least 3 days a week) 

Submit an application: 

If you are interested in applying for this role, please submit both a resume and a cover letter below. 

Ethic values the diversity of our team and welcomes applications from all backgrounds and life experiences. In order to continuously grow a diverse team, we are taking a data-driven approach to understanding and iterating our hiring practices.