• 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.

• Own one of our core platform areas end-to-end: observability (VictoriaMetrics, Grafana, Graylog / VictoriaLogs, fluent bit, exporters, alerting) or CI/CD (Jenkins scripted pipelines, Harbor, Nexus, build agents) — you drive its architecture, reliability, and roadmap. • Drive technical initiatives end-to-end: gather requirements, write the design doc, decompose into tasks, implement, deliver to production, and own the operational health afterwards. • Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps. • Design for reliability and scale: evolve the architecture of our platforms — topology, integration points, scaling approach, and reliability model. • Support developers: deploy and monitor applications on both on-premise servers and Kubernetes (Helm), troubleshoot builds and deploys, help teams with metrics, alerts, and logs; participate in chat duty in developer support channels. • Automate away toil: repetitive operations, provisioning, and maintenance should be codified, not performed by hand. • Investigate production incidents as the senior escalation point for your area: drive resolution, lead post-mortems, implement systemic fixes. Participate in on-call rotations and raise the bar for how on-call works. • Mentor less experienced engineers through design discussions, reviews, and pairing; catch debt-inducing shortcuts at the review stage. • Use AI in all aspects of day-to-day work: researching, troubleshooting, developing.

• Own one of our core platform areas end-to-end: observability (VictoriaMetrics, Grafana, Graylog / VictoriaLogs, fluent bit, exporters, alerting) or CI/CD (Jenkins scripted pipelines, Harbor, Nexus, build agents) — you drive its architecture, reliability, and roadmap. • Drive technical initiatives end-to-end: gather requirements, write the design doc, decompose into tasks, implement, deliver to production, and own the operational health afterwards. • Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps. • Design for reliability and scale: evolve the architecture of our platforms — topology, integration points, scaling approach, and reliability model. • Support developers: deploy and monitor applications on both on-premise servers and Kubernetes (Helm), troubleshoot builds and deploys, help teams with metrics, alerts, and logs; participate in chat duty in developer support channels. • Automate away toil: repetitive operations, provisioning, and maintenance should be codified, not performed by hand. • Investigate production incidents as the senior escalation point for your area: drive resolution, lead post-mortems, implement systemic fixes. Participate in on-call rotations and raise the bar for how on-call works. • Mentor less experienced engineers through design discussions, reviews, and pairing; catch debt-inducing shortcuts at the review stage. • Use AI in all aspects of day-to-day work: researching, troubleshooting, developing.