Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Staff DevOps Engineer - REMOTE. In this pivotal role, you will be responsible for designing and optimizing cloud-based systems specifically focused on Google Cloud Platform (GCP). Your expertise in cloud architecture and agentic AI platforms will ensure our partner can leverage state-of-the-art technologies to improve health outcomes globally. You'll engage with a dynamic team, encouraging learning and mentorship while delivering solutions that are not only reliable but also scalable and secure. Your contributions will drive vital improvements in health technology and empower our users to take control of their health. - Architecting robust and scalable solutions on GCP. - Leading efforts in providing agentic AI platform services. - Implementing Infrastructure as Code practices using tools like Terraform. - Monitoring and optimizing cloud performance for scalability and reliability. - Ensuring compliance with security regulations such as HIPAA and GDPR. - Collaborating with cross-functional teams and documenting architectural decisions. - Keeping abreast of developments and best practices in cloud computing. Qualifications - Deep expertise in GCP and familiarity with Azure and AWS. - Experience in GitOps/DevOps, GitHub, and ArgoCD. - Hands-on skills in designing AI platforms on GCP. - Strong understanding of agentic AI architectures. - Expertise in Kubernetes and cloud technologies. - Leadership experience in Infrastructure as Code with Terraform. - Knowledge of cloud networking and data technologies. Benefits - Comprehensive benefits program. - Growth opportunities on a global scale. - Access to in-house learning programs and tuition reimbursement. - Opportunity to work in an innovative and industry-leading organization. - A front row seat to life-changing technology. Company Description

• Collaborate closely with architects, developers, QA, and security teams to ensure smooth and reliable environment operations. • Work in close partnership with the platform team, based on shared ownership, knowledge exchange, and mutual support. • Own and operate containerized application platforms based on Docker and Kubernetes, ensuring reliability, scalability, and operational excellence. • Design and deliver dynamic test environments at scale, including multiple parallel, per–merge request (branch-based) deployments. • Build, maintain, and standardize CI/CD pipelines by creating reusable templates and components in GitLab CI. • Drive deployment automation and GitOps practices. • Identify operational bottlenecks and implement automation to reduce manual effort and improve delivery speed. • Embed security-by-design across the SDLC, including pipeline hardening and automated security checks. • Build and operate observability platforms: monitoring, logging, and diagnostics (Prometheus, Grafana, ELK/EFK/Loki, etc.). • Participate in on-call and incident response, including troubleshooting, root-cause analysis, and post-mortems. • Take end-to-end ownership of the solutions you build (“you build it, you run it”).

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Staff DevOps Engineer - REMOTE. In this pivotal role, you will be responsible for designing and optimizing cloud-based systems specifically focused on Google Cloud Platform (GCP). Your expertise in cloud architecture and agentic AI platforms will ensure our partner can leverage state-of-the-art technologies to improve health outcomes globally. You'll engage with a dynamic team, encouraging learning and mentorship while delivering solutions that are not only reliable but also scalable and secure. Your contributions will drive vital improvements in health technology and empower our users to take control of their health. Accountabilities - Architecting robust and scalable solutions on GCP. - Leading efforts in providing agentic AI platform services. - Implementing Infrastructure as Code practices using tools like Terraform. - Monitoring and optimizing cloud performance for scalability and reliability. - Ensuring compliance with security regulations such as HIPAA and GDPR. - Collaborating with cross-functional teams and documenting architectural decisions. - Keeping abreast of developments and best practices in cloud computing. Qualifications - Deep expertise in GCP and familiarity with Azure and AWS. - Experience in GitOps/DevOps, GitHub, and ArgoCD. - Hands-on skills in designing AI platforms on GCP. - Strong understanding of agentic AI architectures. - Expertise in Kubernetes and cloud technologies. - Leadership experience in Infrastructure as Code with Terraform. - Knowledge of cloud networking and data technologies. Benefits - Comprehensive benefits program. - Growth opportunities on a global scale. - Access to in-house learning programs and tuition reimbursement. - Opportunity to work in an innovative and industry-leading organization. - A front row seat to life-changing technology.

• Design and maintain robust Azure cloud infrastructure and services, with familiarity in managing hybrid environments. • Architect network topology, security zones, and firewall rules for multi-tier application stacks. • Define and enforce Infrastructure as Code (IaC) standards across the organization using tools like ARM templates, Bicep, or Terraform. • Evaluate, select, and integrate Microsoft ecosystem tools including Azure DevOps, Azure Kubernetes Service (AKS), and Azure App Service to optimize cloud platform capabilities. • Design, build, and maintain multi-stage, secure, and resilient CI/CD pipelines using GitHub Actions and Azure Pipelines. • Manage reliable, automated, and scalable deployment to Azure services (e.g., AKS, App Service, Function Apps). • Implement and manage serverless and containerized deployment strategies in Azure. • Coordinate closely with network and security teams for critical cloud operations, including certificate management, Azure DNS configuration, and Azure Load Balancer/Traffic Manager setup. • Implement and manage comprehensive monitoring solutions using the Azure stack: Azure Monitor, Application Insights, and Log Analytics Workspaces. • Define, track, and report on SLIs (Service Level Indicators) and SLOs (Service Level Objectives), managing error budgets in collaboration with development leads. • Integrate proactive DevSecOps practices: SAST (Static Analysis), DAST (Dynamic Analysis), dependency scanning, and secrets detection directly within the CI/CD pipelines.