Senior Backend Engineer

| Greater Boston Area | Remote
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Parlor.io is focused on revolutionizing the way companies think about their users. We believe the traditional ways companies build products and interact with users are fundamentally broken, so we’ve set out to design a better process and build the first ever User Relationship Management system. Parlor is a Boston-based team founded by serial entrepreneurs, backed by incredible investors, and united by the belief that ideas and individuals win the day.

We’re looking for an experienced backend engineer to join our growing platform team, and to play an integral role in the launch of our new backend / API using AWS Amplify. We are currently undergoing a full front- and back-end overhaul -- migrating from Ember.js to React and from Google Cloud Platform (Firebase/Firestore) and Node.js to AWS. 

Location: While Parlor is a remote-friendly company, our strong preference is to hire candidates who are able to work from our Boston office (in Downtown Crossing) at least 2 days per week.

About the role:

  • Build and launch new Parlor APIs
  • Support expansion of Parlor integrations
  • Design, develop, and deploy efficient infrastructure
  • Data-modeling and API design
  • Collaborate with product and front-end teams on new features
  • Explore machine learning R&D opportunities

 

Tools & tech we use:

  • AWS (Amplify, DynamoDB, Cognito, AppSync, Lambda, OpenSearch, S3)
  • GCP (legacy - Firebase, Firestore, Cloud Functions)
  • JavaScript / TypeScript
  • Express / Node.js
  • Git
  • Other (React, Bit.dev, GitLab, Linear, Slack, Notion, Figma)

 

About you:

  • Have shipped production-ready GraphQL-based APIs (AWS Amplify or similar)
  • Solid experience with AWS stack
  • Problem-solver at heart
  • Eager to jump in and make meaningful contributions from day 1
  • Comfortable with autonomy and collaboration; you know when to ask for help, but are courageous enough to figure things out on your own
  • Proud of your work, open to feedback, committed to continuous improvement
  • Willingness to learn new technologies 
  • Bonus points for interest in machine learning (TensorFlow, PyTorch), data analysis, or CI/CD

We encourage you to apply, even if you don’t meet all the requirements. 

 

More about us:

Parlor is only as good as the individuals with which we surround ourselves. We’re committed to hiring teammates who embody our guiding principles and challenge our approach (https://www.parlor.io/about-us/). We care tremendously about our employees and deeply believe that the best people are those who are overwhelmingly enthusiastic about joining our team.

  • Competitive salary -- our goal is to pay at or above market rate in Boston
  • Health, dental, and vision insurance; 401(k) and stock options
  • Flexible vacation/paid time off -- we recommend 4 weeks in addition to public holidays
  • Office space in downtown Boston with a hybrid work schedule
  • Stipends for commuting expenses, technology, and professional development 

Parlor is an equal opportunity employer that aspires to build a company that embraces and celebrates diversity and inclusion. We strongly encourage people from underrepresented groups to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Imposter syndrome and the confidence gap are real for many, but not insurmountable obstacles! Don’t let those hold you back here… we’d love to hear from you if you think you’d be an asset to our team.

 

Hiring Process

Parlor’s hiring process is designed to move fast and not waste anyone’s time. An intro call with our CTO Jason will be scheduled with those candidates that are most compelling. That conversation will be followed by additional meetings with our CEO Keith to learn more about the long-term vision of Parlor and with the head of product Cameron to get a feel for how we execute on that vision. If all goes well and both parties remain excited, we’ll make a verbal offer the same week with details on salary, benefits, and equity.

Read Full Job Description
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Save jobView Parlor.io's full profileFind similar jobs