• Maintain and extend service provisioning foundations: Keep Backstage-based service templating healthy for greenfield use cases. Contribute to our growing service catalog layer: a YAML-backed, AI-enriched registry exposed via REST API and MCP, designed to be queryable by both engineers and agentic systems • Build and scale agent golden paths: Evolve our agentic infrastructure from experiments to standard architecture. Treat AI agents as first-class platform users: defining deployment standards, and building the guardrails that let teams ship agents safely and consistently • Drive service mesh adoption: Lead the rollout and standardization of Istio across the fleet: covering mTLS, traffic shaping, and policy enforcement and build the golden paths and runbooks that make mesh adoption straightforward for product teams • Establish platform guardrails: Define scorecards/insights and CI policies (lint, contract checks, security baselines) that raise signals and make it easy for teams to get to “green” • Own core platform components: Design, build, and operate Kubernetes, IaC (e.g., Terraform), CI/CD pipelines, service templates, runtime addons, and shared libraries with SLOs and clear runbooks • Work closely with product teams: Partner with a rotating set of squads to co‑design golden paths, collect feedback, remove friction, and measure adoption and impact • Lead migrations and deprecations: Plan and execute multi‑repo changes (API versioning, SDK upgrades, framework/runtime bumps) with clear comms, docs, and safe rollout strategies • Measure what matters: Instrument developer experience and delivery metrics; use data to prioritize and iterate the platform roadmap

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

Role Description This role is responsible for designing, administering, automating, and supporting enterprise OpenShift platform environments. The position requires deep expertise in OpenShift and Kubernetes, strong Linux platform engineering skills, and hands-on experience with infrastructure automation, networking, observability, and operational support. The ideal candidate will lead platform stability and modernization efforts, improve deployment consistency through Infrastructure as Code and GitOps practices, and provide ongoing production support in a support rotation model. - Administer and support enterprise OpenShift platform environments, including cluster installation, upgrades, patching, and ongoing lifecycle management. - Manage and optimize Kubernetes and OpenShift platform components to ensure reliability, scalability, and performance. - Support operator lifecycle management and enterprise cluster governance using tools such as Red Hat Advanced Cluster Management (RHACM). - Perform Linux and RHEL system administration tasks that support platform infrastructure and service availability. - Partner with infrastructure teams to manage load balancers, DNS, certificates, and other foundational platform dependencies. - Develop and maintain Infrastructure as Code solutions and automation workflows using Ansible, Ansible Automation Platform, scripting, and related tools. - Implement and support GitOps practices using technologies such as Argo CD and OpenShift GitOps to improve deployment consistency and operational efficiency. - Contribute to CI/CD and platform automation efforts using tools such as Jenkins, Git, and HashiCorp-based workflows where applicable. - Support OpenShift networking, including ingress, routes, load balancing, firewall rules, network policies, and service mesh related concepts. - Troubleshoot east-west and north-south traffic issues across cluster and application networking layers. - Manage platform security components including TLS, certificates, and PKI integration. - Monitor and improve platform health using observability tools such as Prometheus, Alertmanager, Grafana, Log Insight, and Dynatrace. - Perform capacity planning, performance tuning, root cause analysis, and proactive problem management for platform services. - Participate in support rotation and provide operational support for production platform issues, incidents, and escalations. - Document standards, procedures, and operational runbooks to support consistent platform administration and team knowledge sharing. Qualifications - 5+ years of relevant experience in OpenShift, Kubernetes, platform engineering, systems programming, or related infrastructure roles. - Experience performing as a senior or lead-level systems programming analyst or comparable technical engineering role. - Demonstrated ability to support enterprise-scale platform environments in a production setting. - Strong verbal and written communication skills with the ability to document processes and collaborate across technical teams. - Ability to participate in an operational support rotation. Requirements - Strong experience with OpenShift platform administration and Kubernetes operations. - Hands-on experience with cluster installation, upgrades, patching, and platform maintenance. - Knowledge of operator lifecycle management and multi-cluster management concepts, including RHACM. - Strong Linux / RHEL system administration background. - Experience with load balancers, DNS, and core infrastructure dependencies. - Expertise in Infrastructure as Code, automation, and configuration management. - Hands-on experience with Ansible, Ansible Automation Platform, Bash, YAML, Git, and Jenkins. - Experience with GitOps tools and practices, including Argo CD and OpenShift GitOps. - Strong understanding of OpenShift networking, software-defined networking, ingress, routes, and load balancing. - Knowledge of firewall management, network policy controls, service mesh technologies, and traffic troubleshooting. - Experience managing TLS, certificates, and PKI-related platform requirements. - Hands-on experience with observability and monitoring tools such as Prometheus, Alertmanager, Grafana, Log Insight, and Dynatrace. - Strong troubleshooting, performance tuning, and platform support skills. Benefits - Onsite requirement: No. - US EST: Yes - Location if onsite required: Not applicable. - Support rotation: Yes.

• Design and implement scalable and secure infrastructure on AWS, ensuring high availability and reliability of our platform. • Develop and maintain distributed systems, with a focus on performance, scalability, and fault tolerance. • Collaborate with the engineering team (including our support engineers) to build and improve our internal platform, with a focus on automation, monitoring, and logging. • Work with Kubernetes to manage and orchestrate containerized applications, ensuring efficient resource utilization and high availability. • Participate in the development of our platform roadmap, ensuring that our technology stack aligns with our business goals and objectives. • Ensure that our platform is secure, compliant, and meets all relevant regulatory requirements. • Partner with the engineering team to identify and prioritize platform improvements, and to develop and implement solutions to address these needs. • Own the end-to-end platform development process, from design to delivery, ensuring that our platform meets the needs of our engineers and the company as a whole.