• Own and evolve cloud infrastructure and automation strategy. • Deploy and maintain AWS environments (EC2, ECS, EKS) using Terraform. • Build and manage automated pipelines in GitLab CI or Jenkins. • Manage the full lifecycle of containerized applications using Docker and Kubernetes. • Perform administration and automated deployments across Linux and Windows environments using Python or Bash. • Design, secure, and troubleshoot cloud networking components including VPCs, Subnets, Route53, and Load Balancers. • Implement and support infrastructure for AI/ML workloads.

• Doradztwie technologicznym i prowadzeniu warsztatów dla klientów z obszaru DevOps / Cloud Native • Projektowaniu, budowaniu i rozwoju środowisk Kubernetes, OpenShift • Migracji aplikacji i usług do architektur kontenerowych • Projektowaniu i implementacji pipeline’ów CI/CD • Automatyzacji infrastruktury (IaC) i procesów operacyjnych • Rozwiązywaniu złożonych problemów technicznych w środowiskach produkcyjnych • Współpracy z zespołami developerskimi, architektami oraz klientami biznesowymi

• Ensure reliability, operability, and continuous improvement of TD SYNNEX enterprise platforms across hybrid cloud and on‑prem environments. • Engineering‑driven operations focused on automation, Infrastructure‑as‑Code (IaC), observability, and toil reduction. • Serve as the L3 escalation for complex incidents; continuously improve platform run posture and readiness for L1/L2 execution. • Own L3 reliability posture; define SLOs/KPIs; lead operability gates and production readiness; maintain runbooks/SOPs. • Design/build operational automation (health checks, remediation workflows); develop Terraform/Ansible configurations; script with Python (preferred), PowerShell, and/or Bash; integrate with ITSM for auditable self‑service and controlled remediation. • Lead diagnosis, stabilization, and recovery for major incidents; drive problem management, RCA, preventive actions; reduce MTTR/MTTD via better signals, runbooks, and automation. • Define actionable signals, alert quality, dashboards, logging; tune alerting to reduce noise; run data‑driven operational reviews. • Advance predictive/proactive operations (anomaly detection, trend/capacity analysis); support Python‑based analytics and ML/DL where applicable; industrialize operational intelligence safely. • Equip provider with clear runbooks, training, standard changes, escalation criteria; govern performance and ITSM alignment; drive continuous improvement. • Partner with Platform Engineering to ensure operable‑by‑design capabilities; feed operational insights into roadmap; mentor peers and promote engineering‑led operations culture.

• Design, deploy, and operate AWS infrastructure supporting data lakes and containerized workloads. • Implement Infrastructure-as-Code using Terraform, CloudFormation, or similar tools. • Establish secure, scalable, and highly available AWS architectures following cloud best practices. • Collaborate with application and data engineering teams to translate requirements into reliable platform solutions. • Build and manage AWS-based data lakes using services such as S3, Glue, Athena, EMR, Redshift, and Lake Formation. • Support ingestion, transformation, storage, and access for structured and unstructured datasets. • Implement data lifecycle management, tiering, and cost optimization strategies. • Ensure data platforms meet required security, compliance, and governance standards. • Deploy, manage, and operate containerized applications on Amazon EKS. • Build and maintain container images, registries, and deployment pipelines. • Manage Kubernetes clusters including upgrades, scaling, networking, and security. • Partner with developers to improve application reliability, performance, and deployment consistency. • Design, implement, and maintain CI/CD pipelines for data and application workloads. • Automate infrastructure provisioning, application deployment, and operational tasks. • Implement monitoring, logging, and alerting for AWS services, data pipelines, and Kubernetes workloads. • Participate in incident response, root cause analysis, and continuous improvement initiatives.