Senior Lead Database Reliability Engineer

🕒 July 17

🇺🇸 United States – Remote

💵 $168k - $210k / year

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

DraftKings Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🎮 Gaming

⚽ Sports

👥 B2C

Gaming • Sports • B2C

DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.

📋 Description

• Own the reliability, scalability, and operational excellence of database infrastructure powering a real-time sports betting and gaming platform • Drive the technical roadmap for database reliability across PostgreSQL, MySQL, MongoDB, Redis, ScyllaDB, Aerospike, and managed cloud services • Shape architecture for high availability, replication, partitioning, storage, and connection management • Develop Kubernetes operators, infrastructure as code, GitOps workflows, and production-quality tooling in Go or Python • Automate provisioning, failover, backups, schema migrations, and lifecycle management • Define service level objectives and monitor database health, capacity, and performance • Eliminate recurring reliability issues and validate backup and recovery processes • Lead critical production incidents through resolution and continuous improvement • Optimize database performance and cost across cloud and on-premises environments • Drive capacity planning, resource efficiency, storage optimization, workload consolidation, and performance tuning for large-scale systems • Partner with application engineering teams on schema reviews, migration strategies, query optimization, connection management, and zero-downtime deployments • Leverage AI for observability, anomaly detection, root cause analysis, documentation, predictive insights, and evaluation of AI-generated code • Mentor engineers, share best practices, lead design and code reviews, influence technical direction, support hiring efforts, and raise database reliability engineering maturity

🎯 Requirements

• At least 6 years of experience in Database Reliability Engineering, Database Platform Engineering, or Site Reliability Engineering with a strong database focus • Technical leadership experience delivering complex database infrastructure projects at scale • Deep expertise in at least one major relational database, preferably PostgreSQL • Operational experience with MySQL, MongoDB, Redis, ScyllaDB, Aerospike, Aurora, Cloud SQL, and other managed cloud database services • Experience building and operating stateful workloads on Kubernetes • Experience with StatefulSets, Persistent Volumes, database operators, Terraform, Pulumi, FluxCD, ArgoCD, GKE, and EKS • Hands-on software development experience using Go or Python • Experience creating automation, platform tooling, Kubernetes controllers, APIs, and infrastructure • Experience improving reliability through observability, monitoring, service level objectives, capacity planning, performance optimization, and self-service engineering solutions • Practical experience using AI tools such as Claude, GitHub Copilot, Cursor, MCP, or similar technologies • Sound engineering judgment to validate AI-generated outputs • Excellent leadership and communication skills • Track record of mentoring engineers, influencing architectural decisions, collaborating across engineering teams, producing clear technical documentation, and driving continuous improvement • May be required to obtain a gaming license issued by the appropriate state agency as a condition of employment

🏖️ Benefits

• Bonus • Equity • Benefits as applicable • Guidance through the gaming license process if relevant to the role