About
OAG provides intelligence and data-driven insights for the global travel ecosystem, serving airlines, airports, technology companies, and financial institutions. It combines proprietary travel data, technology, and industry expertise, and is embedding AI into its intelligence layer.
Responsibilities
•Own features end-to-end, from problem-shaping with Product and Design through implementation, testing, production releases, and future enhancements
•Build customer-facing experiences, backend systems, and data models
•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, including 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 quality through code reviews, automated testing, observability, and CI/CD
•Support junior and mid-level engineers and help them grow
Requirements
•Extensive full-stack experience building and shipping production-grade systems
•Strong front-end skills with React, TypeScript, or equivalent, and care for high-quality web interfaces
•A builder's mindset, understanding the who and why and taking ownership of shipped work
•Strong C# or a comparable object-oriented language, with confidence across the full stack
•Solid system-design knowledge, including scalability, reliability, and security, and 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
•Ability to mentor engineers and lead technical decisions
•Clear communication and ability to work directly with Product and Design, shaping problems as well as solving them
•Daily use of AI tooling in development and expectation that the team does the same
Nice to have
•Databricks or Snowflake experience, particularly in analytical or data-intensive contexts
•AI/ML in production, including model serving, prompt pipelines, or agentic patterns
•Consumption-based and subscription billing
•Self-serve billing platform integrations
•Aviation, travel, or data-as-a-service experience
•Establishing or significantly improving engineering foundations for a new product or team
•A portfolio showing improvements to UX, performance, or product craft
Conditions
•Remote work is limited to the UK, with the option to attend an office
•Applicants must already have the right to work in the UK; visa sponsorship is unavailable
•Flexible working arrangements
•Attractive compensation and benefits package, including private health insurance, a company bonus scheme, and enhanced pension scheme
•25 days holiday plus bank holidays, and a day off during the birthday month
•Octopus EV salary sacrifice scheme
•Work remotely anywhere in the world for up to 1 month per year
•Annual learning and development budget
•Inclusive workplace; reasonable adjustments are available during the recruitment process
