• Designing, building and maintaining CI/CD pipelines using GitHub Actions to automate builds, testing, and deployment across development and production environments. • Implementing infrastructure-as-code solutions with Terraform to support repeatable, version-controlled, and auditable infrastructure deployments. • Automating deployment and configuration of applications, bioinformatics pipelines, and supporting services across both GCP and AWS. • Building and maintaining automation scripts in Python and Shell/Bash to reduce manual operations, improve deployment reliability, and increase developer velocity. • Managing containerized applications using Docker, Kubernetes, Google Cloud Run, and AWS container services. • Configuring and maintaining monitoring, logging, and altering solutions to provide full visibility into application and pipeline health. • Implementing security controls across CI/CD pipelines - including secrets management, access controls, and vulnerability scanning - with a regulated-environment mindset. • Managing configuration management for application environments and bioinformatics workstations. • Creating clear, comprehensive documentation for deployment processes, runbooks, and troubleshooting guides that support regulatory compliance requirements. • Driving continuous improvement initiatives to reduce deployment friction, improve build times, and make developers more productive. • Mentoring and providing technical guidance to development teams on DevOps best practices, cloud-native patterns, and tooling.

• Deliver cloud computing services in cloud environments such as Oracle Cloud. • Provide easy-to-consume services for software development teams. • Accelerate application development by creating infrastructure service patterns.

• Be the technical anchor for a global platform footprint that includes a mix of Azure IaaS/PaaS, Google Cloud Platform (GCP), Kubernetes, and various data platforms. • Identify manual "toil" and replace it with automated workflows for monitoring, change management, and routine administration of large-scale VM environments to ensure a positive ROI. • Lead the integration of AI tools for automated code reviews, development frameworks, and predictive log analysis to drive departmental velocity and efficiency. • Design and maintain "self-service" deployment frameworks and CI/CD pipelines (GitHub Actions, Bamboo) using Infrastructure as Code (Bicep, Terraform). • Evaluate platform components to determine the most cost-effective path: automating the current state or migrating features to modern, shared architectures. • Design and maintain a comprehensive observability stack across Azure and GCP (metrics, logs, traces) to identify performance bottlenecks and proactively address system defects. • Partner with engineering, security and operations teams to ensure new features are "born" with reliability, security and automated delivery in mind; Ensure adherence to security best practices and compliance standards (SOC2, HIPAA, ISO 27001) and operational excellence with cost efficiency. • Investigate complex performance defects by following log trails across web, application, and database tiers (SQL Server, MongoDB, MySQL). • Ensure all platforms meet security standards (SOC2, HIPAA, ISO 27001) through automated policy enforcement across Azure and GCP.

• Oversee a specialized SRE team focused on the design, deployment, and maintenance of automation toolsets as well as the systems they interact with. • Establish and enforce standards for IaC to ensure consistent, repeatable, and secure deployments across an entire infrastructure ecosystem. Strong proficiency in Terraform is required. • Lead the strategy for automated configuration and state management, ensuring Ansible playbooks and Packer image pipelines are optimized for both Windows, Linux, and ESXi Platforms. • Manage the monitoring and health of the automation platforms themselves. Implement SLIs/SLOs to ensure the 'tools that build the servers' are highly available and performant. • Drive the automated lifecycle of both physical and virtual assets, from initial template creation/deployment to automated patching, scaling, and decommissioning. • Lead the development of custom scripts and internal providers (Python, Go, PowerShell, Bash) to provide better insights and tooling for our systems. • Outside of the automation team you will need to be able to collaborate and foster workflows alongside the rest of the Datacenter team and be able to facilitate needs for the team as a whole. • Analyze system behavior and resource utilization in virtual environments to optimize the performance of automated deployments. • Provide technical guidance and career mentorship to SREs, fostering a culture of 'automate-first' and continuous improvement.