• Design, build, and maintain CI/CD pipelines to enable faster, reliable, and automated deployments. • Manage and optimize cloud infrastructure (AWS/Azure/GCP) for scalability, security, and cost-efficiency. • Implement infrastructure as code (Terraform, Ansible, CloudFormation, etc.) for consistent environment provisioning. • Monitor system reliability and application performance using modern observability tools (Prometheus, Grafana, ELK, Datadog, etc.). • Ensure compliance with security and governance standards (ISO 27001, SOC2). • Collaborate with developers to streamline code integration, automated testing, and release processes. • Troubleshoot production issues, perform root cause analysis, and implement long-term fixes. • Document DevOps workflows, playbooks, and system architectures for knowledge sharing.

• 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

• Build self-service systems that automate managing, deploying and operating services. • This includes our custom Kubernetes operators that support language model deployments. • Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems. • Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation. • Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback. • Develop our team through knowledge sharing and an active review process.

• Ensure reliability, scalability, and performance of services through SLIs/SLOs, capacity planning, and incident response • Drive automation of infrastructure operations to minimize toil • Develop and support monitoring, alerting, and observability systems to support proactive issue detection • Partner with internal engineering teams to define service-level objectives, improve deployment workflows, and integrate infrastructure with development needs • Contribute to on-call rotations and incident management, helping ensure high availability of services • Drive post-incident reviews and blameless retrospectives to improve reliability • Stay current with emerging technologies and recommend improvements to existing systems and practices.