• proaktywne dostrzeganie wyzwań i ich adresowanie wspólnie z zespołami backendowymi i devops • tworzenie szablonów i standardów infrastrukturalnych dla najczęstszych potrzeb zespołów developerskich (np. nowe serwisy, projekty Cloud Run) • rozwój i utrzymanie stacku observability (Loki, Grafana, Prometheus) oraz optymalizacja wykorzystania zasobów i kosztów chmury (GCP) • utrzymanie i rozwój wewnętrznych narzędzi self-hosted (m.in. NocoDB, n8n, Outline) • wsparcie infrastrukturalne zespołów Data Engineering i Data Science (m.in. Airflow, pipeline'y forecastingowe czy serwery pod ML) • zarządzanie infrastrukturą sieciową w darkstore'ach (sieć, CCTV, drukarki paragonów, urządzenia handheld) we współpracy z IT Managerem • budowanie i utrzymanie infrastruktury on-prem (serwery pod ML i workloady wymagające dużych zasobów, runnery CI/CD dla projektów mobilnych) • utrzymanie i usprawnianie procesów CI/CD (GitLab) oraz developer experience • budowanie infrastruktury pod rozwiązania AI (autonomiczne agenty, boty Slack, agenty code review, remote coding agents) • rozwój praktyk SRE: alerting, procesy zgłaszania i obsługi incydentów (PagerDuty, Slack)

• Conduct DevOps and DevSecOps activities for an Azure integration platform • Create and maintain GitHub CI/CD pipelines • Conduct Azure DevOps activities • Conduct Azure system administration • Build platform automation • Create and maintain PowerShell scripting • Understanding and provisioning of Azure Infrastructure services and network • Create and maintain containers and infrastructure (IaC, Terraform) • Deploy solutions through CI/CD pipelines • Embed DevOps best practices and process/tech improvements across the team and platform • Leverage AI tools to accelerate activities • Collaborate across technical teams • Create and maintain detailed technical documentation • Support troubleshooting and resolution of Production issues • Participate in Agile ceremonies • Report on progress and status of development

• Design, implement, and support secure Azure IaaS and PaaS solutions across enterprise environments • Build and maintain CI/CD pipelines using Azure DevOps and GitLab to enable efficient, automated software delivery • Develop and manage Infrastructure as Code solutions using Terraform and Ansible for provisioning and configuration management • Implement and maintain Zero Trust security architectures, including identity and access management (IAM), data encryption, and security controls • Identify, assess, and remediate infrastructure and application security vulnerabilities • Create and maintain monitoring, alerting, and operational dashboards using Azure Monitor, Log Analytics, and Application Insights • Troubleshoot production issues, restore services, and maintain operational runbooks and knowledgebase documentation • Collaborate with cross-functional teams to support cloud modernization initiatives

• Lead, mentor, and inspire a high-performing team of Site Reliability Engineers dedicated to Kong's Managed Gateway offerings. • Architect and implement robust, scalable, and fault-tolerant cloud-native systems using technologies like Kubernetes, Golang, and major cloud providers. • Own the end-to-end operational lifecycle, from proactive monitoring and alerting to incident response and blameless post-mortems, ensuring continuous service improvement. • Drive a culture of developer delight by implementing automation, self-service tooling, and streamlined workflows for deploying and managing API gateways. • Define, track, and report on key SLOs and SLIs to ensure optimal performance and reliability of Managed Gateways. • Champion technical debt prevention and advocate for architectural best practices that enhance system resilience and reduce operational toil. • Collaborate cross-functionally with Product, engineering, and Customer Success to influence roadmap decisions and ensure operational readiness for new features. • Partner directly with enterprise customers — working alongside Product leadership, Professional Services, and Customer Success — to drive end-to-end onboarding and implementation of Cloud Gateways, and productize recurring implementation patterns into repeatable playbooks and platform capabilities. • Bring deep, cross-cloud breadth (AWS, GCP, Azure) to handle unique customer topologies and turn complex setups into successful, production-ready deployments.