DevOps Engineer (Cloud Native & Data)

O projekcie: Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you! Currently, we are searching for a DevOps Engineer to work on developing a data lakehouse platform for a global financial services company. Sovereign-ready architecture on AWS EKS, with future deployments to Azure AKS and on-prem Kubernetes (OpenShift). The platform runs Apache Spark, Flink, Kafka, Airflow, and an Iceberg-based data catalog — all deployed via GitOps. We are looking for a Senior Engineer who owns infrastructure and platform operations end-to-end. Drives complex topics independently (security hardening, HA/DR, platform scaling) while mentoring the team. Client-facing - presents technical designs and progress to enterprise stakeholders. Working hours: primarily European business hours, with occasional evening calls (around 20:00 CET) to sync with international teams. Wymagania: - Proven experience with AWS services, including EKS, VPC networking, IAM, S3, KMS, and secrets management solutions.- Strong proficiency in Terraform, including modular design, state management, and collaborative workflows in team environments.- Deep hands-on knowledge of Kubernetes administration, troubleshooting, and multi-tenant cluster operations.- Experience with GitOps practices and tools such as ArgoCD and Helm, with a solid understanding of declarative infrastructure management.- Expertise in observability stacks (Prometheus, Grafana, logging systems) and the ability to design meaningful alerting strategies.- Strong understanding of cloud and container security best practices, including identity management, network policies, and encryption.- Practical knowledge of operating data workloads on Kubernetes (e.g., Spark, Flink, Kafka, Airflow) and familiarity with OIDC/SSO integration and CI/CD pipelines. Codzienne zadania: - Design, build, and operate scalable cloud infrastructure on AWS, with a strong focus on EKS, networking, IAM, and secure data storage. - Develop and maintain reusable Terraform modules, ensuring consistent, reliable, and team-friendly infrastructure provisioning workflows. - Administer and troubleshoot Kubernetes clusters, including resource management, multi-tenancy, and CRD-based operator workloads. - Implement GitOps practices using ArgoCD and Helm, maintaining Git as the single source of truth for all production environments. - Own observability across the platform by designing metrics, logging, and alerting systems using Prometheus, Thanos, Grafana, and related tools. - Enforce strong security standards, including least-privilege access, network segmentation, encryption, and secure image and secrets management. - Support and optimize data platform workloads (e.g., Spark, Flink, Kafka, Airflow) running on Kubernetes, ensuring reliability, performance, and seamless integration with platform services.