Senior Lead Database Reliability Engineer

🕒 Julho 17

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

DraftKings Inc.

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2012

🎮 Jogos

⚽ Esportes

👥 B2C

Gaming • Sports • B2C

A DraftKings Inc. é uma empresa global reconhecida por oferecer produtos e experiências inovadoras, principalmente nos setores de apostas esportivas e esportes fantasy. A companhia tem forte presença em diversos países, com o objetivo de proporcionar momentos excepcionais aos clientes e superar desafios por meio de trabalho em equipe e persistência. Na DraftKings, a inovação em engenharia, analytics e desenvolvimento de produto é essencial, com foco em criar experiências inesquecíveis para os clientes em operações de sportsbook e cassino. A empresa valoriza uma cultura de trabalho dinâmica, inclusão, equidade e colaboração global entre suas equipes diversas.

Descrição

• 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 optimization, workload consolidation, and performance tuning for large scale systems • Partner closely with application engineering teams to establish safe database practices, including schema reviews, migration strategies, query optimization, connection management, and zero downtime deployment processes • Leverage AI to improve engineering productivity and database operations through intelligent observability, anomaly detection, root cause analysis, documentation, predictive insights, and evaluation of AI generated code to ensure reliability and security • Mentor engineers across the organization by sharing best practices, leading design and code reviews, influencing technical direction, supporting hiring efforts, and raising the overall maturity of database reliability engineering.

🎯 Requisitos

• At least 6 years of experience in Database Reliability Engineering, Database Platform Engineering, or Site Reliability Engineering with a strong database focus • Deep expertise in at least one major relational database, preferably PostgreSQL, along with operational experience supporting technologies such as MySQL, MongoDB, Redis, ScyllaDB, Aerospike, Aurora, Cloud SQL, and other managed cloud database services • Strong experience building and operating stateful workloads on Kubernetes using technologies such as StatefulSets, Persistent Volumes, database operators, Terraform, Pulumi, FluxCD, ArgoCD, GKE, and EKS • Hands on software development experience using Go or Python to create automation, platform tooling, Kubernetes controllers, APIs, and infrastructure • A data driven, automation first mindset with proven 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 to improve design, coding, documentation, troubleshooting, and operational workflows while applying sound engineering judgment to validate AI generated outputs • Excellent leadership and communication skills with a track record of mentoring engineers, influencing architectural decisions, collaborating across engineering teams, producing clear technical documentation, and driving continuous improvement in highly available production environments.

🏖️ Benefícios

• plus bonus • equity • benefits as applicable