Great Gray Trust Company

• Architect, design, and implement scalable, cost-effective cloud solutions in a microservices environment using the latest AI technologies • Lead and mentor a team of engineers, driving technical excellence through guidance and best practices. • Champion continuous improvement by optimizing processes, ensuring quality standards, and enhancing system performance. • Conduct code reviews to uphold security, maintainability, and performance standards. • Collaborate with leadership to align technical decisions with business goals and deliver outstanding customer value. • Maintain and monitor business-critical platforms, proactively troubleshooting issues to ensure seamless operation. • Complete other related duties as assigned

• Build and maintain self-service tools and automation that empower engineering teams to ship faster with confidence • Design and implement standards, patterns, and best practices for containerized and traditional applications • Create documentation and runbooks that enable teams to own their services • Champion DevOps culture and practices across engineering teams • Lead a migration from Azure DevOps to GitHub Actions, designing robust, scalable pipeline architectures • Mature existing CI/CD pipelines with improved testing, security scanning, and deployment strategies • Implement blue-green and canary deployment patterns • Build reusable pipeline templates and shared workflows • Manage and optimize our Azure Kubernetes Service (AKS) clusters • Containerize legacy applications and design migration strategies from monoliths to microservices • Work with Azure App Services, Virtual Machine Scale Sets, and networking infrastructure • Implement and maintain service mesh patterns, monitoring, and observability • Write and maintain Terraform modules for Azure infrastructure • Automate infrastructure provisioning, configuration management, and scaling • Modernize legacy infrastructure with Windows AD dependencies, SSRS, and SSIS workloads • Design and implement auto-scaling strategies for applications currently lacking them • Enhance monitoring and alerting using Application Insights, Azure Monitor, Prometheus/Grafana, Jaeger, and OpenTelemetry • Build dashboards and SLO/SLI frameworks to measure system health • Drive incident response processes and post-mortem culture • Optimize application and infrastructure performance • Complete other related duties as assigned

• Lead and develop one to two agile development teams (4-8 engineers), providing coaching, mentorship, and career development to continue building our high-performing, collaborative engineering organization. • Partner closely with Product Management to translate business requirements into technical roadmaps, ensuring teams have clear priorities, well-defined requirements, and the resources needed to deliver high-impact features • Own team delivery and operational metrics, removing blockers, managing technical dependencies, and ensuring predictable sprint execution and on-time delivery of committed features • Collaborate with leadership to align technical decisions with business goals and deliver outstanding customer value. • Participate in technical decision-making and architecture discussions, balancing near-term delivery needs with long-term platform scalability, maintainability, and technical debt management • Cultivate a culture of continuous improvement by facilitating retrospectives, implementing process refinements, and promoting knowledge sharing and cross-functional collaboration across engineering teams • Contribute to the broader engineering organization by participating in hiring, defining team standards and processes, and helping shape Great Gray's engineering culture as the technology team scales