About QualMinds:
We at QualMinds design & develop world-class digital products and custom software for Startups, Scale- ups & Enterprises with our world-class engineering team. We assemble a great team of frontend, backend, full-stack, QA automation, UI/UX, DevOps, data science, machine learning, and agile experts to help our clients propel their pursuit of digital excellence.
Our engineering community at QualMinds is always passionate about building customer- centric software with the highest quality, performance, security, scalability, and lowest failure rates.
We are seeking a Senior Database Administrator (DBA) to lead the administration, optimization, security, and availability of mission-critical data platforms supporting enterprise SaaS applications, analytics, and customer-facing systems.
This role is responsible for maintaining highly available SQL Server environments while partnering with Development, DevOps, Data Engineering, and Product teams to ensure scalable, secure, and high-performing database systems. The ideal candidate is equally comfortable troubleshooting production incidents, designing HA/DR architectures, tuning complex workloads, and supporting cloud modernization initiatives.
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Administer and maintain Microsoft SQL Server environments across production, staging, and development.
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Manage Always On Availability Groups, Failover Cluster Instances, Replication, and Log Shipping.
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Perform installations, upgrades, migrations, and patch management.
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Manage backup, recovery, and disaster recovery processes.
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Monitor and tune database performance.
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Optimize query execution plans, indexes, blocking, deadlocks, TempDB, memory, and I/O.
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Partner with development teams to improve application performance and scalability.
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Participate in an on-call production support rotation.
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Troubleshoot critical production incidents.
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Perform root cause analysis and implement preventative measures.
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Support database deployments and release management.
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Implement database security best practices.
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Manage permissions and role-based access controls.
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Support compliance and data governance requirements.
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Conduct vulnerability remediation and security audits.
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Support hybrid cloud database architectures.
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Manage SQL Server in cloud and virtualized infrastructure.
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Collaborate on Snowflake integrations and ETL workloads.
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Evaluate emerging database technologies.
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Develop PowerShell and T-SQL automation.
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Automate maintenance tasks and monitoring.
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Improve deployment pipelines and operational efficiencies.
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7+ years of SQL Server DBA experience.
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3+ years supporting enterprise production environments.
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Experience supporting 24x7 mission-critical systems.
SQL Server: SQL Server 2019–2025, T-SQL, Always On Availability Groups, Replication, Log Shipping, SSIS, SQL Agent
Performance: Query tuning, Index optimization, Execution plan analysis, Deadlock analysis, Extended Events, DMVs
High Availability: Backup and recovery, Disaster recovery planning, Clustering, Database failover strategies
Infrastructure: Windows Server, PowerShell, IIS fundamentals, Storage and SAN concepts
Monitoring: Redgate SQL Monitor, SentryOne, SolarWinds DPA, New Relic, Grafana
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Experience with Google Cloud Platform, Snowflake, Elasticsearch, Redis, Kubernetes, PostgreSQL, and MySQL.
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Experience supporting enterprise SaaS applications.
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Experience administering PostgreSQL and MySQL environments is a plus.
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Automotive industry experience preferred.
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Familiarity with CI/CD pipelines and DevOps practices.
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Knowledge of data warehousing concepts.
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Strong analytical and troubleshooting abilities.
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Excellent written and verbal communication skills.
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Ability to manage multiple priorities in a fast-paced environment.
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Ability to work effectively across Development, DevOps, Product, and Data Engineering teams.
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Strong sense of ownership and commitment to operational excellence.
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Bachelor's degree in Computer Science, Information Systems, related field, or equivalent experience.
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Microsoft SQL certifications are a plus.
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Maintaining highly available database environments.
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Supporting high-volume transactional systems.
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Optimizing performance for enterprise applications.
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Improving database reliability, security, and scalability.
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Partnering with engineering teams to deliver robust and efficient data solutions.
