Blackbird Labs

Senior/Staff Backend Engineer

New York · Staff+ · Full-time

Sponsorship not specified$180k-$220kDetected 441 days ago

KotlinSpringSQLAWSTerraformDevOpsRESTLLMsRAGMentoring

About the role

We make others better - taking initiative to elevate others, giving and receiving feedback, and championing a culture of growth.
The more you check in at your favorite spots, the more you unlock-from unique rewards to seamless direct messaging for reservations.
With each visit, you'll earn $FLY, our universal rewards currency, which you can use across our network of outstanding restaurants.

Design, build, and maintain core backend APIs
Collaborate with product, design, and engineering peers to deliver features aligned with business goals
Contribute to system architecture and implement scalable, robust solutions
Participate in product and design discussions, offering backend perspectives on implementation and feasibility
Deep experience designing and maintaining RESTful APIs using domain-driven design principles
Solid understanding of SQL databases, including schema design and performance tuning

5+ years of experience building and deploying backend APIs
Strong proficiency in Kotlin or another statically typed JVM language
Ability to work autonomously and make sound decisions in a fast-moving environment
Experience mentoring engineers and contributing positively to team culture
Experience with the Spring framework and database abstraction layers such as Hibernate
Familiarity with the U.S. payments ecosystem, including debit, credit, and ACH processing
Interest or experience in blockchain, especially with cryptography fundamentals
Experience productionizing generative AI features (e.g. retrieval-augmented generation, prompt engineering, or model integration)

Depending on your work location and experience the target annual salary for this position can range from: $180,000-$220,000 USD.
Disclosure in accordance with New York City's Pay Transparency Law.
Blackbird will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable law.
For US applicants, you may view the Know Your Rights notice here https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf.
Additionally, Blackbird participates in the E-Verify program https://static-assets.coinbase.com/e-verify.pdf.
Join us and find out what the best work of your career could look like here at Blackbird.

Whether it's last-minute tables, welcome drinks, off-menu items, or exclusive perks, we're building a platform that helps restaurants identify, connect with, and reward their guests in meaningful and personalized ways.

Blackbird Labs is a loyalty and payments platform establishing meaningful connections between the world's best restaurants and their customers.
Served up in 2022 by Ben Leventhal, co-founder of Eater and Resy, Blackbird offers a fully customizable loyalty programming platform for restaurants and a consumer app designed to make every guest feel like a bonafide VIP no matter where they dine.
Backed by Union Square Ventures, a16z, Amex Ventures, Variant Fund, and other forward-thinking investors, Blackbird is out to revolutionize the restaurant industry.
At Blackbird, our values guide everything we do and our talent principles define the key traits we seek in our employees.
We have passion for our product - committed to our mission and instinctively think like and go the extra mile for our customers.
We are elite performers - striving for excellence, going above and beyond to achieve exceptional results, and learning quickly with horsepower, drive, and grit.
We hold one another accountable to living out our talent principles as we march together to achieving our mission.
At Blackbird, we believe every guest should feel like a VIP the moment they walk into a restaurant.

Blackbird Labs is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.
Equal Opportunity Employer.

This listing is sourced directly from Blackbird Labs's careers page and normalized into a canonical job model.