Fanduel Infrastructure Engineering Director owning FanDuel's cloud and outpost-based infrastructure layer. Establishes operational excellence, standardization, and reliability across compute, networking, Kubernetes, and cloud provisioning.
Responsibilities
Establish infrastructure strategy and standards across cloud provisioning, observability, disaster recovery, and cost governance
Build and scale the infrastructure engineering team with operational rigor and discipline
Own disaster recovery strategy, RTO/RPO definitions, testing, and organizational readiness
Establish SLOs/SLIs for foundational infrastructure services
Design and evolve cloud infrastructure for resilience, cost, and operational clarity
Manage AWS, outposts, Kubernetes orchestration, networking, mesh, and compute provisioning
Set standards for operational discipline including change management, incident response, post-mortems, and continuous improvement
Manage vendor relationships, cloud spend, and capacity planning
Qualification
A mindset of ownership
Required
Significant experience leading platform engineering, SRE, or infrastructure organizations.
Deep expertise in Kubernetes architecture, operations, and scaling. Working knowledge of container orchestration, cluster design, workload isolation, and multi-cluster management.
Strong hands-on understanding of AWS cloud infrastructure: VPCs, networking, IAM, EC2, EKS, cost management, and operating hybrid AWS environments including Outposts.
Experience defining and driving platform, reliability, or infrastructure strategy across teams, with the ability to influence technical direction and set standards.
Proven ability to establish operational discipline: documented runbooks, change management processes, incident response frameworks, and blameless post-mortem culture.
Experience designing and implementing disaster recovery, RTO/RPO definitions, failover testing, and resilience improvements across production systems.
Experience defining and implementing SLOs, SLIs, and alerting strategies for infrastructure services using user-centric and business-aligned metrics.
Strong software engineering fundamentals with proficiency in at least one modern programming language. Ability to build scalable tooling and automation.
Track record of driving large-scale operational improvements through automation, reducing organizational toil, and preventing recurring classes of issues.
Understanding of cloud cost drivers and the ability to optimize spend without sacrificing reliability, resilience, or team velocity.
Strong analytical and communication skills. Ability to influence technical and non-technical stakeholders. Can translate infrastructure constraints into business and customer impact.
A mindset of ownership, continuous improvement, and long-term platform sustainability. You know when standards are working and when they need to change.
