Senior Fullstack Engineer
OagaviationworldwideEst. Est. USD 120,000–180,000 / yearSenior
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Typescript
- React
- C#
- Nosql
- Snowflake
- Ci/Cd
ABOUT THE COMPANY:
OAG is the essential intelligence partner transforming global travel. For nearly a century, we've been the foundation the travel industry builds on, trusted, proven, essential. Today, we're going beyond.
We combine unmatched data quality, quantity and access with breakthrough technology and deep industry expertise to deliver what the industry truly needs: not just more data, but better answers. From real-time operational intelligence to strategic decision-making, we power the entire travel ecosystem, from airlines and airports to technology companies and financial institutions.
We are actively embedding AI throughout our intelligence layer, combining nearly a century of proprietary data with the latest technology to deliver answers that were simply not possible before.
We exist because travel moves the world, and we move travel. By transforming complexity into clarity and questions into answers, we give our partners the intelligence they need to thrive in an evolving world. For more information visit www.oag.com
ABOUT THE ROLE:
OAG Digital is the team turning our world-class data into a product-led growth engine. A unified experience where customers can sign up, explore, and extract value on their own.
You'll work across two areas. Core is the platform backbone - identity, auth, entitlements, billing, and the infrastructure everything else depends on. Intelligence is the layer above the data - AI-powered insights, predictive models built on Databricks and Snowflake, anomaly detection, and agentic features.
This is a full-stack role. You'll own features from the data layer to the customer-facing interface. We care about UX as much as throughput, and we're AI-native - tooling is part of how we develop, not an afterthought.
This role can be worked remotely from anywhere in the UK only. Please note that we're unable to offer visa sponsorship, so applicants will need the existing right to work in the UK.
WHAT YOU'LL BE DOING
Own features end-to-end - from problem-shaping with Product and Design through implementation, testing, production releases and future enhancements
Build customer-facing experiences and the backend systems and data models behind them
Evolve platform architecture across Core and Intelligence for scalability, reliability, and sustainability
Lead technical decisions and engineering strategy, balancing innovation with pragmatism
Build core platform capabilities: auth, entitlements, billing integrations, and usage management
Integrate AI models, data pipelines, and event-driven systems on Databricks and Snowflake into the Intelligence layer
Maintain the quality bar through code reviews, automated testing, observability, and CI/CD
Support junior and mid-level engineers and help them grow
WHAT WE'RE LOOKING FOR
Extensive full-stack experience building and shipping production-grade systems
Strong front-end skills (React, TypeScript, or equivalent) with genuine care for great web interfaces
A builder’s mindset. You understand the who and the why, and you own what ships.
Strong C# (or comparable OO language) and confidence across the full stack
Solid system-design knowledge (scalability, reliability, security) and the ability to defend architectural trade-offs
Experience with CI/CD pipelines, automated testing strategies, and DevOps practices
Familiarity with relational and NoSQL databases, and comfort working with data at scale
Demonstrated ability to mentor engineers and lead - not just contribute to - technical decisions
Clear communicator who works directly with Product and Design and can shape problems as well as solve them
AI-native in how you develop - you use AI tooling daily and expect the same from your team
IT WOULD BE GREAT IF YOU ALSO HAD
Experience with Databricks or Snowflake, particularly in analytical or data-intensive contexts
Familiarity with AI/ML in production: model serving, prompt pipelines, or a
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