Site Reliability Engineer
Job Summary
This role is for a Site Reliability Engineer or Senior Database Platform Engineer to manage enterprise database clusters in a hybrid environment. You will be responsible for end-to-end design, automation, and optimization of data platforms using Infrastructure as Code (IaC). The position involves working across multi-cloud and on-premises environments to provision highly available and secure data infrastructure.
Responsibilities
- Design and maintain Infrastructure-as-Code (IaC) solutions.
- Develop and govern CI/CD pipelines for database automation.
- Manage SQL Server high-availability environments.
- Perform database tuning, capacity planning, and diagnostics.
- Collaborate with security and app-dev teams on deployments.
Required Skills
- Microsoft SQL Server expertise
- Azure Cloud infrastructure
- PowerShell scripting
- Terraform or similar IaC tools
- CI/CD pipeline management
Job Details
Responsibilities
Platform Engineering & Lifecycle Automation
- Automated Provisioning Frameworks: Design, build, and maintain Infrastructure-as-Code (IaC) solutions and deployment templates to standardize and accelerate the rollout of cloud and on-premises data structures.
- CI/CD Pipeline Integration: Develop and govern robust continuous integration and delivery pipelines for automated database releases, configurations, patches, and platform upgrades.
- Lifecycle Scripting: Write clean, modular configuration management and automation scripts to handle routing tasks, including backups, health telemetry checks, and disaster recovery validations.
- Source-Control Stewardship: Maintain and structure source-controlled deployment scripts and configuration repositories to guarantee reproducible test and production beds.
Database Architecture, Performance & Administration
- Ecosystem Engineering: Build highly redundant Microsoft SQL Server environments from scratch across Development, QA, Production, and Disaster Recovery (DR) zones.
- High-Availability Engineering: Implement and manage complex high-availability models, specifically including SQL Server Always On Availability Groups, Failover Clustering, Replication, and granular Backup/Recovery patterns.
- Performance Tuning & Diagnostics: Conduct advanced performance tuning, query optimization, capacity planning, and full-stack infrastructure telemetry across databases, operating systems, and network links.
- Cross-Functional Partnership: Partner with Cloud Engineering, Infrastructure, Security, and Application Development squads to safely deploy automated platform solutions and participate in major incident triage.
Qualifications
- Experience: Extensive professional experience in database engineering, platform automation, or database administration (DBA) supporting mission-critical, enterprise-scale application layers.
- Database Platform Mastery: Deep, hands-on command of Microsoft SQL Server installation, multi-tier clustering, performance tuning, and operational patching.
- Cloud & OS Infrastructure Acuity: Solid operational understanding of Microsoft Azure components (Virtual Machines, Storage, Networking, Monitoring) coupled with hands-on Windows Server administration skills.
- Automation & Scripting Fluency: Proven ability to build scripts independently using PowerShell.
- Infrastructure as Code (IaC): Direct experience configuring and deploying environments using Terraform, Ansible, SaltStack, or comparable cloud-provisioning technologies.
- CI/CD Integration Tooling: Functional experience managing versioned assets and pipelines utilizing Azure DevOps, GitHub, or Jenkins.
- Soft Skills: Exceptional troubleshooting and root-cause analytical skills. A collaborative, self-motivated team player who can communicate complex infrastructure realities effectively to technical and non-technical peers alike.
Preferred Assets & Knowledge
- Referenceable technical experience administering NoSQL architectures, specifically MongoDB and Apache Cassandra.
- Foundational proficiency with Linux administration and container orchestration via Kubernetes.
- Functional exposure to broader cloud ecosystems, such as Amazon Web Services (AWS) or Databricks analytics environments.
- Prior professional experience operating within the Financial Services or highly regulated enterprise industries.