At the heart of the Affinity product, you’ll find a number of foundational back end engineering challenges: everything from ingesting and processing billions of data points in real-time, to building robust, scalable, and secure infrastructure, to supporting lightning-fast queries across large datasets. Our back end is where the magic that powers Affinity’s relationship intelligence is created and honed.

In this role, you’ll leverage your past experiences and deep understanding of back end technologies to help shape and execute Affinity's roadmap for dataflow and system architecture, to champion engineering best practices, and to become a technical mentor for other engineers on the team. You’ll play a significant role in defining the future of how businesses around the world use their relationships.

What you'll achieve:

• Design and implement the powerful, robust, and performant back end systems that ingest, process, and analyze massive datasets to enable Affinity's relationship intelligence
• Collaborate with a world-class engineering team where you'll have the opportunity to learn from a wide variety of experiences and, of course, share your own
• Grow as a technical leader

We'd love to hear from you if:

• You have 6+ years of back-end development experience
• You're comfortable with the building blocks of modern back end systems, such as caching, messaging, horizontally scalable data infrastructure, event-driven architecture, and beyond
• You have experience working with large, multi-terabyte datasets, and working with the database and application layers to diagnose and solve scaling and performance bottlenecks
• You take pride in delivering successful features, building robust, performant systems, and championing technical excellence
• You value mentorship and helping the engineers around you grow
• You're excited to work collaboratively within engineering and across functional teams
• You’re eager to contribute your ideas and experiences to help Affinity continuously improve as a product and as a company

Join us in enabling every professional on the planet to succeed by harnessing the power of their relationships.

Tech stack

On the back-end, we use Ruby and PostgreSQL; our infrastructure is hosted by AWS and runs on Kubernetes. To learn more about our tech, check out our Building Affinity blog.

How we work:

Our culture is a key part of how we operate as well as our hiring process:

• We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver incremental value to our customers each sprint.
• We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. 
• We make data driven decisions and make the best decision for the moment based on the information available.

Join us in enabling every professional on the planet to succeed by harnessing the power of their relationships.

If you’d want to learn more about our values click here.

What you'll enjoy at Affinity:

• We live our values as playmakers, obsessed with learning, caring personally about our colleagues and clients, are radically open-minded, and take pride in everything we do.
• We pay your medical, dental, and vision insurance with comprehensive PPO and HMO plans. And provide flexible personal & sick days. We want our team to be happy and healthy :) 
• We offer a 401k plan to help you plan for retirement.
• We provide an annual budget for you to spend on education and offer a comprehensive L&D program – after all, one of our core values is that we're #obsessedwithlearning! 
• We support our employee's overall health and well-being and reimburse monthly for things such as; transportation, Home Internet, Meals, and Wellness memberships/equipment.
• Virtual team building and socials. Keeping people connected is essential.

Please note that the role compensation details below reflect the base salary only and do not include any variable pay, equity, or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.  

A reasonable estimate of the current range is $105,000 to $178,000 USD. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training.