DataOps Platform Engineer

Our missionWe are a cutting-edge e-commerce company developing products for our own technological platform. Our creative, smart, and dedicated teams pool their knowledge and experience to find the best solutions to meet project needs, while maintaining sustainable and long-lasting results. How? By making sure that our teams thrive and develop professionally. Strong advocates of hiring top talent and letting them do what they do best, we strive to create a workplace that allows for an open, collaborative and respectful culture.DataOps Platform EngineerOperate, automate, and evolve the infrastructure supporting our data platform across a hybrid on-prem (VMware vSphere) + Azure environment. This is a platform ops / DevOps role — not a data engineering role. You won't own pipelines; you'll own the platform they run on.ResponsibilitiesOperate and maintain core services: Spark, Flink, Airflow, StarRocks, and OpenMetadataManage hybrid infrastructure: on-prem vSphere and Azure (networking, identity, managed services, private connectivity)Implement and maintain Infrastructure as Code using Terraform and AnsibleMaintain GitOps workflows (ArgoCD) and CI/CD pipelines (Jenkins)Own the observability stack: Fluent Bit + Graylog for logs; Grafana / New Relic for metrics and alerting; Splunk operational administration and source onboardingDrive incident response, root cause analysis, and lifecycle operations (upgrades, patches, capacity)Collaborate with Data Engineering and Analytics teams to ensure workload stability, access, and performanceProduce and maintain runbooks, operational guides, and onboarding documentationRequired SkillsHands-on experience operating distributed systems (Spark, Flink, or Airflow in production)Practical Azure experience: networking, identity, managed services, private connectivityStrong Linux, networking, and troubleshooting fundamentalsTerraform and Ansible (real production use)GitOps with ArgoCD; CI/CD with JenkinsObservability foundations: structured logging, metrics, alerting (any combination of Fluent Bit, Graylog, Grafana, New Relic)Operational ownership: incident handling, SLIs/SLOs, continuous improvementNice to HaveAnalytical engines: StarRocks, ClickHouse, etcAzure ML Studio from an ops/enablement perspectiveWhy choose us?We provide the opportunity to be the best version of yourself, develop professionally, and create strong working relationships, whether working remotely or on-site. While offering a competitive salary, we also invest in our people's professional development and want to see you grow and love what you do. We are dedicated to listening to our team's needs and are constantly working on creating an environment in which you can feel at home. If this sounds like the place for you, contact us now!We offer a range of benefits to support your personal and professional development.Benefits:22 days of annual leave10 days of public/national holidaysHealth insurance optionsAccess to online learning platformsOn-site English classes in some countries, and more.Join our team and enjoy an environment that values and supports your well-being. If this sounds like the place for you, contact us now!