Senior Director Technology
Role details
Job location
Tech stack
Job description
We're hiring a Senior Director, Cloud Engineering to lead the cloud engineering capability behind Travelport's next-generation platform. This role needs someone who has built and operated serious AWS environments, understands large-scale systems, and can create the platform conditions for frontier AI products to work in production.
You'll lead the team that defines the engineering approach for AWS, builds our production AWS platform, and onboards development teams and products to this platform. You'll be responsible for driving the move to infrastructure as code, account management, automated pipelines, observability, resilience, operating coverage and cost control.
You'll also help define how the platform supports AI, data engineering and high-scale product demand, including where AWS Bedrock and other AI services can be used responsibly in production.
The role is about making the platform stronger, simpler and ready for what comes next while managing the pipeline of new products that are moving to or being created in AWS.
Your role in action
- Lead the cloud engineering strategy for the Travelport platform, with a focus on AWS, automation, resilience, security and cost.
- Build stronger engineering standards for infrastructure as code, CI/CD, AWS account management, platform guardrails and developer enablement.
- Improve the operational model for the platform, including observability, incident response, reliability and 24/7 support coverage.
- Partner with Product and Commercial teams to get ahead of major demand changes, customer commitments and platform capacity decisions.
- Work closely with Data Strategy, Architecture, Infrastructure and Cyber teams to support AI, data lakes, data engineering, identity, security and production GenAI use cases.
- Help define how Travelport scales AI workloads in a cost-aware, secure and reliable way.
- Lead cloud cost management and capacity planning, including the engineering decisions that drive AWS spend.
- Challenge platform norms and simplify where complexity is slowing delivery, increasing risk or adding cost.
Requirements
- You've led cloud engineering, platform engineering or infrastructure engineering teams running high-scale production systems on AWS.
- You have strong practical knowledge of distributed systems, infrastructure as code, automated deployment pipelines, cloud security, observability and operational reliability.
- You have managed cloud cost, budget and capacity at scale.
- You understand the engineering choices that drive AWS spend.
- You have enough exposure to AI/ML platform needs, data engineering and cloud data platforms to guide real architecture decisions.
- AWS Bedrock or production GenAI experience would be valuable
- You can operate at senior leadership level while staying close enough to the technology to challenge decisions properly.
- You know how to build strong engineering teams, create clear standards and improve delivery without adding unnecessary process.