Top Tech Jobs & Startup Jobs in Austin, TX

Build and run the compliance program for DraftKings' prediction market product. Monitor controls, manage issues, support examinations and audits, translate regulatory requirements into processes and platform changes, develop policies and playbooks (AML/KYC, market surveillance, marketing compliance), and prepare compliance reporting and dashboards.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Lead design vision and execution for platform product areas, define long-term strategy, create reusable patterns and design systems, collaborate cross-functionally, mentor designers, and deliver high-quality, scalable product experiences from concept to execution.

Design and scale distributed, high-availability systems and platform architectures. Define frameworks, tooling, and standards, contribute hands-on to prototypes and production, guide teams on reliability, observability, and operational excellence, and align technical decisions with product and business priorities.

Support and improve reliability, scalability, and performance of large-scale databases across cloud and on-prem. Build automation, Kubernetes operators, GitOps workflows, and tooling in Go or Python; implement observability, capacity planning, failover, backups, schema migrations, and self-healing systems; partner with application teams and leverage AI to improve operations and engineering productivity.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.