Database Reliability Engineer

6 days ago

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote

💵 $116.1k - $198.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

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Rackspace Technology

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Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

IT as a Service • Multi-Cloud • Managed Hosting • Managed AWS/Azure/Google Cloud Platform/OpenStack/Alibaba • Managed Private Cloud for VMware/Microsoft/OpenStack

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• We are seeking a skilled Database Reliability Engineer (DBRE) with expertise in MongoDB to join our team. • In this role, you will be responsible for ensuring the performance, scalability, and reliability of our database infrastructure. • You will work closely with development, SRE, and DevOps teams to optimize database operations, automate processes, and proactively resolve issues. • Strong knowledge of MongoDB indexes, index management, integrity checks, and statistics. • Understand query plans to troubleshoot performance issues. • Knowledge of CRUD syntax and Aggregation Framework. • Understanding of replication, vertical scaling, horizontal scaling, and DR. • Expert skill in MongoDB server 6.0, 7.0 & 8.0. • Advanced analytical and problem-solving skills. • Strong knowledge of database automation, ideally with Python and/or Ansible. • Ability to work in a team environment. • Excellent communications skills; written, verbal, and presentation. • Ability to apply varying leadership skills and traits that create solutions and results to unexpected situations. • Design, maintain, and optimize MongoDB clusters for high availability and performance. • Implement database monitoring, alerting, and automated remediation strategies. • Collaborate with SRE and DevOps teams to integrate databases into CI/CD pipelines. • Ensure database security, backup, and disaster recovery best practices. • Troubleshoot database performance issues and optimize queries and indexes. • Develop automation scripts and infrastructure-as-code (IaC) solutions for database operations. • Plan and execute database upgrades, migrations, and capacity planning.

🎯 Requirements

• Experience with automation frameworks • Experience with Python and/or Ansible or equivalents • MongoDB (Configure, Tune, Upgrade, Recovery) • Experience with MongoDB Sharding • Experience with MongoDB Query and Index Tuning • Experience with MongoDB Replication • Nice to have: Experience with Elastic • Experience with networking and virtualization/containers • Experience with troubleshooting hardware issues • Experience with MongoDB security best practices