Build our internal developer platform, the Engineering Runtime, managing AWS infrastructure as code and ensuring platform reliability and security for internal engineering, data, and AI teams.
Responsibilities
Build internal developer platform, the Engineering Runtime
Manage AWS infrastructure as code (accounts, networks, EKS clusters, Karpenter, databases and IAM)
Make the platform reliable and secure by default, testing disaster recovery
Work with Glass Lewis engineering teams, migrating Azure applications to the platform
Talk to platform users to determine next build priorities
Leading strategic transformation programs across Retail and Customer, focusing on customer engagement, loyalty, and strategic delivery while managing a team of transformation leads and project managers.
Responsibilities
Lead strategic programmes across Retail and Customer, including customer engagement and loyalty
Bring a product mindset and ways of working to how we shape and deliver change
Own the business cases that help executives make confident investment decisions
Design and run short, focused trials to test ideas and their value before we commit to full investment
Prepare clear, honest advice and options for executives and sponsors
Lead the engineering team, balance people management with hands‑on technical work, and drive product delivery across multiple AI‑powered hotel solutions.
Responsibilities
Own engineering execution across products
Decide what the team builds and in what order
Set delivery plans and ensure releases ship
Manage the engineering team: hiring, one‑on‑ones, feedback, performance
Write and review code
Requirements
Nice to have: SaaS or startup background
Nice to have: experience scaling a product from early customers to commercial scale
Build tools that help engineers develop, understand, and diagnose complex software systems.
Compensation
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.
Responsibilities
Design, build, and maintain engineering tools that help developers understand and diagnose complex software systems.
Build tooling that brings together logs, telemetry, events, faults, diagnostics, and system state to make system behaviour easier to investigate.
Build C++ and Python applications, libraries, services, and integrations that interact with complex onboard and distributed software systems.
Create tools that correlate information across software components, processes, and machines to help engineers understand what happened and where to investigate.
Build user interfaces and interactive visualisations using React and modern web technologies to explore system behaviour and engineering data.
Design and build integrations between agents and external sources, package them as agent-callable tools, and evolve orchestration for multi-step agent workflows.
Compensation
$112,000 - $179,000. This represents the typical salary range for this position.
Responsibilities
Design and build integrations between our agents and external sources — public APIs, licensed feeds, partner systems, customer enterprise systems, document repositories, and structured databases.
Package those integrations as agent-callable tools: clean interfaces, predictable I/O, sound error handling, and documentation the agents (and the humans configuring them) can actually rely on.
Own the production concerns that make external data trustworthy — auth, pagination, rate limiting, retry/backoff, schema mapping, deduplication, caching.
Build and evolve orchestration for multi-step agent workflows, including tool routing, parallel execution, and human-in-the-loop checkpoints.
Contribute across the stack — FastAPI services, React UI for tool configuration and observability, Postgres schemas, containerized deploys.
Requirements
BS degree with 8 years professional experience
Associates degree with 10 years professional experience
MS degree with 6 years professional experience
high school diploma/equivalent and 12 years professional experience
Lead talent initiatives and design group-wide performance and succession management processes, integrating AI and technology to enhance people operations.
Responsibilities
Define problems from strategy and business needs
Diagnose talent and organisational challenges
Break complex work into clear plans and lead delivery end to end
Bring in expertise from across People, the business and external partners
Take an AI-first approach to research, analyse and build
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