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Design, automate, and scale resilient infrastructure and CI/CD pipelines; build reusable frameworks and abstractions; automate platform operations; improve observability and security; partner with engineering teams to evolve internal developer platforms and enhance developer productivity.

Lead design and ownership of large-scale data pipelines and ETL using Spark and AWS, build backend APIs/microservices, ensure data quality and monitoring, manage infrastructure with Terraform and CI/CD, mentor engineers, and deliver analytics dashboards and performant query solutions for advertising insights.

Lead local HR operations including employee relations, onboarding/offboarding, payroll and benefits administration, compliance with North America employment laws, local implementation of global people initiatives, coaching leaders, performance management, L&D, DEI, engagement, and mobility/immigration support.

The Senior People Advisor oversees HR operations, manages employee relations, compliance, payroll, and supports talent development while ensuring alignment with company culture and values.

The Senior Application Engineer will drive ServiceNow implementation, develop integrations and automations, mentor colleagues, and ensure service availability as part of a global team.

Work with key clients to manage integrations of sports betting products, provide technical guidance, support issue resolution, and drive adoption. Coordinate with Product, Engineering, Sales, and Service Delivery, advise on best practices, act as project manager for integrations, and propose product/process improvements.

Support day-to-day accounting for international entities: prepare journal entries, balance sheet reconciliations, month/quarter/year-end close tasks, financial reports, controls, audit documentation, and collaborate across finance and other teams.

Design, develop, validate, and deploy machine learning and statistical models for sportsbook risk management and odds trading. Perform data analysis, back-testing, and productionize low-latency streaming analytics solutions. Monitor and continuously improve models while communicating results to technical and business stakeholders.

Monitor and analyze betting patterns across global bookmakers to detect suspicious activity, compile tailored risk and turnover reports, investigate trends with intelligence teams, support training and product areas, and participate in escalation and reporting for sports federations and partners.

Research, develop and deploy deep learning models (generative and predictive) for sports sequence and spatiotemporal data. Build training pipelines, data processing, distributed training and GPU-optimized inference. Validate via back-testing/simulation, productionize models on internal AI platforms, collaborate with product and engineering, and communicate results to stakeholders.