Jobs at Penn Interactive

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering, data, security, product teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, vendor relationships, discovery and intake processes, delivery alignment, and performance metrics. Evaluate AI-supported process improvements, ensure compliance and operational readiness, and deliver measurable gains in efficiency, quality, cycle time, and stakeholder satisfaction.

Own and operate large-scale infrastructure for sports betting and media platforms across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and alerting, support development teams, and participate in incident response. The role requires strong distributed-systems expertise, production troubleshooting, cross-team project leadership, technical communication, and mentoring.

Lead and mentor multiple software teams building promotional capabilities. Collaborate with product to define roadmaps, ensure reliable, scalable architectures, enforce development processes, hire, set KPIs/SLAs, and drive performance, scalability, and operational excellence.

Manage and optimize digital advertising campaigns across web and mobile platforms, analyze performance data, maintain reporting dashboards and flight calendars, implement and test ad products/integrations, coordinate with sales, and drive revenue and advertiser experience improvements.

Design, build, and optimize GraphQL APIs, gRPC services and SQL queries for a promotions engine. Own complex technical problems, improve production scalability and performance, set up DataDog monitoring, participate in on-call rotations, mentor engineers, and deliver end-to-end features in an agile environment.

Design, build, and scale GraphQL and gRPC APIs and SQL queries powering the sportsbook marketplace. Own end-to-end feature delivery, performance diagnostics and remediation, release and deployment windows, monitoring in DataDog, and on-call rotations. Mentor peers, draft technical proposals/specs, and improve platform scalability through load testing, tracing, and production hygiene.

Lead design and delivery of platform capabilities that power a Federated GraphQL API and event-driven systems. Build and optimize gRPC endpoints, GraphQL APIs, and SQL for scale; own observability (DataDog, Bugsnag), mentor engineers, drive integrations, improve performance and reliability, and support customer-facing product teams across the organization.

Design, administer, and optimize databases for cloud-native platforms. Support production incidents, evaluate and improve schemas and replication, drive DB architecture choices across AWS/GCP, implement IaC (Terraform) and GitOps, and build repeatable database designs for availability, reliability, and performance.

Lead real-time incident management across online and physical systems, own P1-P4 incident classification, escalation, diagnosis, recovery and RCA. Improve SRE/release processes, drive cross-functional communication, maintain incident documentation, and promote continuous service and release improvements.

Design, build, and scale GraphQL APIs, low-latency gRPC services, and SQL-backed wagering flows for online casino products. Own complex technical problems end-to-end, improve production performance and observability (DataDog), mentor engineers, and deliver integrations with game providers while operating services on Kubernetes and participating in on-call rotations.

Design and maintain federated GraphQL schemas and server-driven UI; build fast, accessible front-end apps with React and TypeScript; develop and optimize GraphQL/SQL backends; operate production services (Kubernetes, observability in DataDog), own releases and on-call rotations; drive testing, CI/CD, technical debt reduction, mentoring, and cross-team coordination.

Lead strategy and execution of AI-driven customer support, optimize Zendesk and integrations, implement chatbots and agent-assist, improve self-service and knowledge management, measure performance, govern SOPs and training, and partner cross-functionally to scale support operations.