• Work on service resiliency, performance tuning, and system design across Backcountry's platform • Drive resolution of critical incidents and ensure fixes are methodically implemented through postmortems • Leverage AI-assisted engineering tools (Claude Code, GitHub Copilot, MCP-based agents) to investigate, automate, and ship fixes across infrastructure and application repositories • Reduce toil by designing and implementing automation • Partner with other Site Reliability Engineers, developers, and architects to evaluate and implement best practices for current and future workloads • Monitor system health and capacity, taking proactive action to fix problems before they occur • Collaborate with engineering teams to build, deploy, and support features • Build and maintain observability (metrics, logs, traces, profiles) and SLI/SLO instrumentation for Backcountry services • Participate in FinOps initiatives across GCP and AWS, including capacity planning and committed-use discount strategy • Participate in the on-call support rotation within the SRE team

• Monitoring and Alerts: Build, maintain and evolve clear dashboards and intelligent alerts (infrastructure and business rules), ensuring real-time visibility into system health; • Log Management and APM: Actively analyze, parse and centralize logs, and configure and monitor APM metrics to optimize performance; • Automation: Develop and maintain automation solutions for provisioning, configuration and deployment of infrastructure (IaC); • Incident Management: Participate in resolving production problems and incidents, using observability data for rapid diagnostics and root cause analysis; • SRE Culture: Collaborate with and promote best practices among development teams for resilience, instrumentation and metrics collection.

• CI/CD pipelines (Continuous Integration and Continuous Delivery): Build, maintain and evolve automated pipelines for building, testing and deploying, ensuring agile, secure, and frequent releases • Infrastructure as Code (IaC): Provision, manage and evolve cloud infrastructure through versioned code, ensuring standardization and consistency across all environments • Orchestration and Containers: Design, support and optimize the container ecosystem, defining efficient deployment strategies (e.g., Blue-Green, Canary) and high availability • Security and DevSecOps: Integrate security practices and validations throughout the development lifecycle (shift-left), managing secrets, access policies and automated vulnerability analysis such as SAST and DAST • DevOps Culture and Collaboration: Collaborate and work actively with development teams to eliminate operational bottlenecks, promoting autonomy, agility and knowledge sharing across engineering

• Build the Future of Cloud Delivery • Shape and scale our DevOps practice. • Lead & Grow a Team: Mentor and develop a high-performing DevOps team (2–5 engineers), fostering collaboration, ownership, and continuous improvement. • Own the DevOps Strategy: Define and execute our Azure DevOps vision and roadmap aligned with business and engineering goals. • Stay Hands-On: Design, build, and maintain CI/CD pipelines using Azure DevOps and modern tooling. • Drive Cloud & Modernization Initiatives: Lead efforts to modernize applications and platforms in a cloud-first environment. • Enable Scalable Delivery: Partner with engineering teams to improve reliability, scalability, security, and speed. • Implement Infrastructure as Code: Use ARM, Bicep, Terraform, or similar tools to build and manage infrastructure. • Support Data & Analytics Pipelines: Build CI/CD for Azure Data Factory, Snowflake, Power BI, and database deployments. • Advance DevSecOps & MLOps: Implement secure, automated pipelines for applications, data, and AI/ML workloads. • Optimize & Govern: Improve cloud performance, cost efficiency, and ensure compliance and best practices. • Act as a Technical Leader: Serve as an escalation point and collaborate across architecture, security, and product teams.