Overview

Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Responsibilities

• Cloud Infrastructure &
• Reliability Engineering
• Design, Provisioning &
• Reliability Management (SLIs/SLOs &
• Monitoring &
• Resilience &
• Git Workflows &
• CI/CD Pipeline Management
• Modernizing Version Control Workflows: Serve as the custodian of the source code repositories and development workflows. The SRE will evaluate and implement a modern Git workflow that suits the organization (for example, migrating from a legacy model to trunk-based development or a refined GitFlow strategy). The goal is to improve developer productivity and code integration frequency.
• Continuous Integration/Continuous Deployment (CI/CD): Own and improve the CI/CD pipelines that take code from commit to production. The SRE will work with tools like GitHub Actions, Jenkins, Azure DevOps Pipelines, or Google Cloud Build to automate builds, testing, and deployments.
• maintaining build scripts and configuration
• optimizing pipeline speed and reliability, and
• integrating quality gates (unit/integration tests, static code analysis, etc.) into the pipeline
• Repository Management &
• Operations &
• Security (DevSecOps)
• Incident &
• Vulnerability Management &
• Secrets, Access &
• Operational Tooling &
• Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks. Evaluate emerging trends to drive continuous improvement and strategic innovation.

Qualifications

• Bachelor's degree in computer science or a related field, or equivalent practical experience.
• For Grade 27, 5+ years of overall experience and 3+ years of relevant SRE experience are needed
• Excellent python and terraform (or equivalent) coding experience (High complexity level)
• Excellent communication skills with an ability to present ideas/suggestions and updates to managers and leaders
• Cloud Expertise: Deep understanding of public cloud platforms - particularly GCP and Azure. This includes knowledge of core services (compute, storage, networking, databases) and how to architect distributed systems on these platforms.
• Infrastructure as Code &
• Automation: Hands-on skills with Infrastructure as Code tools such as Terraform (or Azure Resource Manager templates, Cloud Deployment Manager, etc.) to automate provisioning of cloud resources. Comfort with configuration management tools (e.g. Ansible, Chef) and scripting/programming (Python, PowerShell, Bash) to automate operational tasks is expected. Automation-first mindset is key - candidates should demonstrate how they've eliminated manual processes in prior roles
• Observability &
• Troubleshooting: Solid abilities with monitoring, logging, and tracing tools. This includes setting up and querying telemetry in systems like Azure Monitor/Application Insights, GCP Operations (Stackdriver), Prometheus &
• Grafana, Datadog, or Splunk. The SRE should be adept at analyzing logs and traces to debug complex issues across distributed systems - for example, tracing an outage to a specific microservice instance or a database choke point.
• Security &
• DevSecOps: Good grasp of security fundamentals in cloud and software delivery. This includes identity and access management (Azure AD, GCP IAM), network security (firewalls, VPC/VNet configurations), and data protection.
• Incident Response &
• Collaboration &