• Serve as the primary technical and delivery leader responsible for transforming enterprise customer requirements into production-grade Agentic AI solutions. • Partner directly with customers to understand their business processes, design scalable AI-powered workflows, lead end-to-end implementations, and ensure successful deployments that deliver measurable business outcomes. • Own the complete customer deployment lifecycle—from discovery and solution design to implementation, quality assurance, go-live, and continuous optimization. • Work closely with Customer Success, Product, Engineering, Integration Engineers, and QA teams while acting as a trusted advisor to enterprise stakeholders throughout their AI transformation journey.

• Design, build, and maintain scalable Azure infrastructure using Infrastructure as Code. • Develop and manage CI/CD pipelines to support automated deployments and release processes. • Monitor system performance, troubleshoot issues, and ensure high availability of environments. • Collaborate closely with development and QA teams to improve build and release workflows. • Implement security best practices and compliance standards across cloud environments. • Create and maintain documentation for infrastructure, processes, and configurations. • Participate in incident management and root cause analysis when necessary.

• Work with DevOps teams to design, implement, and maintain secure CI/CD pipelines integrating security testing at every stage of the software development lifecycle • Implement automated security scanning including SAST, DAST, SCA, container scanning • Deploy and support API Security tools • Ensure tools consistently report to aggregator • Collaborate with development teams to promote secure coding practices and provide security guidance throughout the development process • Ensure compliance with industry standards relevant to the travel industry including PCI-DSS, GDPR, and SOC 2 • Mentor junior engineers and promote a security-first culture across engineering teams

• Support the reliability, performance, and scalability of Fable’s systems and infrastructure • Monitor systems, respond to alerts, and assist in troubleshooting production issues • Work with engineers and SREs to debug issues across infrastructure and application layers • Contribute to improving system observability, including logging, monitoring, and alerting • Assist in maintaining and improving CI/CD pipelines and deployment processes • Support infrastructure and configuration changes under guidance (e.g., cloud resources, environments) • Help identify opportunities to improve system performance, stability, and cost efficiency • Support efforts to reduce operational complexity and technical debt • Participate in incident response and post-incident reviews (postmortems) • Document systems, processes, and troubleshooting steps • Learn and apply best practices in reliability engineering, system design, and platform operations