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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager - Database Engineering - **Company:** Zelis Healthcare - **Location:** Morristown, NJ, United States - **Experience:** Expert - **Salary:** $139,000.0 - $176,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Confluence, Microsoft Azure, Backup Devices, Business Software, Cloud Database, Cloud Engineering, Software Quality, Cyber Security, Databases, Continuous Integration, Data Centers, DevOps, Disaster Recovery, Github, Microsoft SQL Server, SQL Azure, Software Tools, Virtual Machines, Visual Studio Online, Scripting, Microsoft Power Automate, GitHub Copilot, System Availability, Technical Debt, Infrastructure as Code (IaC), Git, Database Migration, Amazon Relational Database Service, Infrastructure Automation Frameworks, Information Technology, Database Monitoring, GPT, Software Version Control - **Published:** September 10, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88288451/1 ## About the Role * Extensive enterprise database engineering and leadership experience, including demonstrated responsibility for business-critical database platforms and geographically distributed onshore and offshore Database Engineering teams. * Deep technical knowledge of Microsoft SQL Server, including architecture, performance, high availability, disaster recovery, security, backup and recovery, upgrades, and lifecycle management. * Strong experience with Microsoft Azure and AWS database platforms, including Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure Virtual Machines, SQL Server on Amazon EC2, and Amazon RDS for SQL Server. * Extensive experience leading database cloud migrations, SQL Server upgrades, modernization initiatives, platform lifecycle management, and remediation of legacy or end-of-support technologies. * Strong experience with database telemetry, observability, monitoring and alerting, performance engineering, and tools such as IDERA or comparable enterprise database monitoring platforms. * Experience with modern engineering practices and tooling, including Infrastructure as Code, automation, Git, GitHub, CI/CD, VS Code or other IDEs, Confluence or enterprise wikis, and AI-assisted engineering tools such as ChatGPT, Claude, Microsoft Copilot, and GitHub Copilot. * Has a Master's degree in Computer Science, Information Technology, Engineering, or a related technical discipline with 15+ years of relevant professional experience, or a PhD/MD with 10+ years of relevant professional experience. ## Description As the Senior Manager of Database Engineering at Zelis, you will be responsible for leading the strategy, architecture, engineering, modernization, and operational excellence of all enterprise database platforms across Microsoft Azure, Amazon Web Services (AWS), and on-premises environments. This role has end-to-end operational responsibility and accountability for all databases across the enterprise, including availability, reliability, performance, security, monitoring, incident response, capacity, backup and recovery, disaster recovery, maintenance, upgrades, and lifecycle management. You will lead and manage a distributed team of Database Engineers across both onshore and offshore locations, establishing clear technical ownership, engineering standards, operational practices, performance expectations, and accountability. This role will drive the continued evolution of database engineering from traditional database administration toward a modern, cloud-focused engineering model built on automation, Infrastructure as Code, observability, Git-based engineering practices, and AI-assisted engineering. You will ensure database platforms are secure, reliable, scalable, well-documented, cost-effective, and capable of supporting mission-critical business applications. As the Senior Manager of Database Engineering at Zelis, you will be responsible for leading the strategy, architecture, engineering, modernization, and operational excellence of all enterprise database platforms across Microsoft Azure, Amazon Web Services (AWS), and on-premises environments. This role has end-to-end operational responsibility and accountability for all databases across the enterprise, including availability, reliability, performance, security, monitoring, incident response, capacity, backup and recovery, disaster recovery, maintenance, upgrades, and lifecycle management. You will lead and manage a distributed team of Database Engineers across both onshore and offshore locations, establishing clear technical ownership, engineering standards, operational practices, performance expectations, and accountability. This role will drive the continued evolution of database engineering from traditional database administration toward a modern, cloud-focused engineering model built on automation, Infrastructure as Code, observability, Git-based engineering practices, and AI-assisted engineering. You will ensure database platforms are secure, reliable, scalable, well-documented, cost-effective, and capable of supporting mission-critical business applications., * Lead and manage a distributed team of Database Engineers across onshore and offshore locations, establishing clear ownership, accountability, engineering standards, performance expectations, and career development. * Own end-to-end operational responsibility for all enterprise databases across on-premises, Microsoft Azure, and AWS environments, ensuring availability, reliability, performance, security, scalability, and operational health. * Establish effective 24x7 operational coverage, including monitoring and alerting, incident response, escalation, problem management, performance management, capacity management, maintenance, patching, backup and recovery, and disaster recovery. * Define and maintain the enterprise database engineering strategy, architecture, technology standards, operating model, and platform roadmap across Azure, AWS, and on-premises environments. * Provide technical leadership and establish engineering standards for Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure Virtual Machines, SQL Server on Amazon EC2, and Amazon RDS for SQL Server. * Lead database migrations and modernization initiatives from traditional data center environments to Azure and AWS, including workload placement, assessments, architecture, remediation, testing, cutover, validation, and optimization. * Develop and maintain database lifecycle management strategies, including SQL Server upgrades, patching, platform currency, end-of-support remediation, and reduction of legacy technology and technical debt. * Establish comprehensive database telemetry, observability, monitoring, and alerting using IDERA and cloud-native capabilities, including actionable operational KPIs for availability, performance, capacity, recovery, and platform health. * Establish, test, and continuously improve database high availability, disaster recovery, backup, restore, resiliency, and business continuity capabilities. * Drive automation and Infrastructure as Code (IaC) for database provisioning, configuration, deployment, maintenance, monitoring, and lifecycle management. * Establish GitHub-based engineering practices using Git, CI/CD, peer review, version control, VS Code or other modern IDEs, and GitHub Copilot for database scripts, automation, Infrastructure as Code, and engineering assets. * Drive the responsible adoption of AI-assisted engineering tools, including ChatGPT, Claude, Microsoft Copilot, and GitHub Copilot, to improve automation, troubleshooting, scripting, documentation, code quality, and engineering productivity. * Create and maintain comprehensive database engineering documentation and structured document libraries within Confluence, enterprise wikis, or equivalent platforms, including architectures, standards, runbooks, troubleshooting guides, migration procedures, and disaster recovery processes. * Partner with application engineering, cloud engineering, architecture, DevOps, infrastructure, cybersecurity, and business teams to ensure database services are standardized, secure, scalable, integrated, and operationally supportable. * Drive continuous improvement across database operations and engineering, including reliability, automation, security, cost efficiency, technical debt reduction, vendor management, capacity planning, and modernization. ## Related Videos - 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