Role Description
We seek an experienced and highly skilled Cloud Platform Engineer to join Greystar’s Data, Digital, and AI team (D2AI). As an Azure infrastructure engineer, this role involves designing, implementing, and managing Azure-based infrastructure and cloud solutions with additional expertise in Azure Databricks. The ideal candidate will be responsible for ensuring system scalability, security, and performance by leveraging best DevOps practices, Infrastructure as Code (IaC), and advanced data processing workflows. This is a 100% hands-on role that requires deep technical expertise and the ability to collaborate effectively across teams.
As an SRE on the D2AI team, you will be responsible for ensuring the stability, performance, and availability of our cloud-based internally and externally customer-facing products. Your role will be crucial in ensuring seamless operations and rapid issue resolution.
What You Will Do:
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Azure Architecture and Resource Management:
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Design, implement, and manage Azure solutions to meet technical and operational needs.
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Optimize Azure resource configuration for performance, cost, and security.
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Monitor the health and reliability of Azure resources, ensuring high availability.
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Continuously monitor network/server performance, using advanced network management and server administration tools to identify issues proactively.
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Monitor and manage the health, performance, and availability of our applications running on Azure (including ADF pipelines).
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Support for Application Development Teams:
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Collaborate with development teams to align Azure architecture with application requirements.
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Provide guidance on best practices for Azure resource provisioning, scaling, and configuration.
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Enable teams to leverage Azure services, including DataBricks, for analytics and data workflows.
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Incident Detection and Response:
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Detect and analyze network and server anomalies, security threats, and performance bottlenecks.
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Initiate incident response procedures and coordinate with relevant teams for swift resolution.
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Troubleshooting:
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Investigate and resolve infrastructure, network/server-related issues, escalate complex problems to higher-level teams, and maintain detailed incident documentation.
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Azure Databricks Expertise:
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Set up and manage Azure Databricks environments for big data processing and advanced analytics.
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Support and optimize Databricks pipelines for data engineers and scientists.
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Effectively troubleshoot and resolve Databricks-related challenges.
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DevOps and Infrastructure Management:
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Develop and maintain Infrastructure as Code (IaC) scripts using Terraform.
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Implement DevOps practices, including CI/CD pipelines, automated testing, and monitoring.
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Streamline workflows by collaborating with IT and operations teams.
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Troubleshooting and Issue Resolution:
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Act as the primary point of contact for Azure-related issues within the project.
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Investigate, diagnose, and resolve complex technical issues in collaboration with development and operations teams.
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Implement preventive measures to minimize downtime and disruptions.
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Continuous Improvement:
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Analyze trends and metrics to identify areas for improvement and optimization.
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Identify and implement cost optimization opportunities within Azure infrastructure and services.
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Conduct regular reviews of Azure cost management using cost management tools.
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Stay updated on emerging Azure technologies, AI, and cloud computing trends to drive innovation.
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Identify opportunities to improve processes, tools, and systems to enhance efficiency and scalability.
Qualifications
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Proven experience as an Azure Architect or Senior Systems Engineer with hands-on Azure solution implementation.
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Proficiency with monitoring tools such as Datadog, Azure Monitor, Application Insights, Log Analytics, or similar.
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Strong expertise in Azure Databricks, including setup, configuration, and optimization.
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Proficiency in Azure services such as App Services, Function Apps, CosmosDB, Storage, Networking, Azure DevOps, and Security.
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Expert in troubleshooting and resolving Azure-related issues.
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Hands-on experience with Infrastructure-as-Code (IaC) tools like Terraform, ARM templates, or Bicep.
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Strong scripting skills in PowerShell, Python, or similar.
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Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
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Bachelor’s degree in computer science, information technology, business management information systems, or equivalent experience. Advanced degree preferred.
Preferred Qualifications
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Experience with DevOps practices and CI/CD pipelines in an Azure environment.
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Experience with cloud cost management strategies.
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Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate) are highly desirable.
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Knowledge of network security practices and regulatory compliance.
Benefits
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Competitive Medical, Dental, Vision, and Disability & Life insurance benefits.
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Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service.
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Generous Paid Time off: All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure.
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For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.
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6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).
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401(k) with Company Match up to 6% of pay after 6 months of service.
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Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
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Employee Assistance Program.
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Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans.
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Charitable giving program and benefits.
