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$ cat jobs/senior-lead-database-reliability-engineer-draftkings-inc-31eb34a51c56.json

Senior Lead Database Reliability Engineer

draftkings inc·US·United States·senior
pythonredispostgresmysqlmongodbkubernetes
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At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Lead Database Reliability Engineer, you'll own the reliability, scalability, and operational excellence of the database infrastructure powering one of the most demanding real time platforms in sports betting and gaming. In this role, you'll combine deep database expertise with software engineering and infrastructure automation to build resilient, self healing systems, improve platform performance, and drive reliability across cloud and on premises database environments. What You'll Do Drive the technical roadmap for database reliability across PostgreSQL, MySQL, MongoDB, Redis, ScyllaDB, Aerospike, and managed cloud services, while shaping architecture for high availability, replication, partitioning, storage, and connection management. Design and build automation first database platforms by developing Kubernetes operators, infrastructure as code, GitOps workflows, and production quality tooling in Go or Python to automate provisioning, failover, backups, schema migrations, and lifecycle management. Lead operational excellence by defining service level objectives, monitoring database health, capacity, and performance, eliminating recurring reliability issues, validating backup and recovery processes, and leading critical production incidents through resolution and continuous improvement. Optimize database performance and cost across cloud and on premises environments by driving capacity planning, resource efficiency, storage opt

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