
Software Engineer, Flights and Loyalty
Remote · USFull-time$175–230K/yrPosted 2mo agoStill listed 3w ago
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Job overview
Taekus is hiring a Software Engineer, Flights and Loyalty . Taekus, a fintech and travel startup, is seeking a flights‑focused full‑stack or backend engineer to scale its flight routing and booking engine, working with airline loyalty programs and external GDS partners, while contributing to a rapidly expanding loyalty platform.
Key focus areas include Driving Core Feature Delivery: Take ownership of major feature releases across the entire flight booking funnel, Build logic for award ticket inventory pricing and point transferring to partners, and Integrate with external airlines and GDS partners and navigate complex communication protocols and data schemas.
Successful candidates bring Travel To San Francisco, New York, Chicago, Or Austin For Onsite Interview, 6+ Years Of Engineering Experience, and Recent Production-Grade Python Experience. Important skills include Python, Django, TypeScript, React, PostgreSQL, and AWS. Preferred (not required): Driving Core Feature Delivery, Building Logic For Award Ticket Inventory Pricing & Point Transferring, Integrating With External Airlines And GDS Partners, and Navigating Complex Communication Protocols And Data Schemas.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Taekus is a fintech and travel startup building a next generation premium financial services brand. As a profitable fintech with a $70M revenue/yr and new carrier partnerships, we’re entering a new stage of growth—significant expansion of our loyalty engine.
We’re seeking a flights focused full-stack or backend engineer to help scale our flight routing & booking engine. This includes working with airline loyalty programs to build our partnerships out for flight search and booking. You will be joining our resident flights expert in shaping the Flights & Loyalty team.
Help us tackle this $3.2T opportunity to innovate in the true super-premium market since the inception of rewards credit cards.
Interview Process
Candidates must be able to travel to San Francisco, New York, Chicago, or Austin for an onsite interview. All required travel will be paid for by Taekus.
Your Responsibilities
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Driving Core Feature Delivery: Taking ownership of major feature releases across the entire flight booking funnel, from flight search to booking creation and post-booking fulfillment.
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Building logic for award ticket inventory pricing & point transferring to our partners.
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Integrating with external airlines and GDS partners and navigating their complex communication protocols and data schemas.
What You Bring to the Table
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6+ years of engineering experience, most recently writing production-grade Python
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Experience with GDS systems, such as Amadeus or Sabre
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Technical experience in: Python / Django, TypeScript, React, PostgreSQL, AWS.
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You’re into credit card points/travel hacking and book yourself many flights with points — and you can play all those pesky airline rewards search engines like an instrument.
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You’ve considered building your own flight inventory scrapers, have multiple credit cards, and have history with FlyerTalk
You'd Love This Job If
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You want to be in a scaling startup that is experiencing exponential growth.
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You’re excited by building foundational work and enjoy making an impact.
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Traveling is in your DNA and you get to apply your passion into your work.
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You thrive in growing high-caliber teams and want to influence both technical and strategic direction.
About Taekus
Taekus is a 6-year-old luxury financial services company offering premium checking, credit, and debit accounts—paired with an exclusive travel rewards ecosystem. We serve an affluent, global customer base that expects excellence in both experience and execution. With $3B+ in annual transaction volume and strong profitability, we’re redefining what it means to bank beautifully.
What We Offer
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Competitive salary and stock option plan
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Medical, Dental, and Vision insurance
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401(k) plan with 5% company match
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Flexible vacation policy
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Fully remote work environment
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