DevOps Engineer

Who we are Bitrock is a high-end consulting and system integration company,strongly committed to offering cutting-edge and innovative solutions . Our tailored consulting services enable our clients to preserve the value of legacy investments while migrating to more efficient systems and infrastructure. We take a holistic approach to technology: we consider each system in its totality, as a set of interconnected elements that work together to meet business needs. We thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI & ML Engineering; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design & UX Engineering, Mobile App Development, Quality Assurance, FinOps, GovernanceThe effectiveness our solutions also stems frompartnershipswith key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian.Who we are looking for Are you a seasoned DevOps professional with a passion forautomating everythingand deep expertise incloud infrastructureandevent streaming ? We are looking for a highly motivated and skilledSenior DevOps Engineerto join our team. In this role, you will be crucial in designing, implementing, and maintaining our scalable, reliable, and secure infrastructure, deployment pipelines, and ourConfluent Kafka platform .Key Responsibilities Design, implement, and manage highly available and scalablecloud infrastructure(e.g., AWS, Azure, GCP) using Infrastructure as Code ( IaC ) principles. Develop, configure, and maintain automation scripts and playbooks usingAnsiblefor configuration management and application deployment. Implement and manage infrastructure provisioning usingTerraformto ensure consistent and reproducible environments across development, staging, and production. Design, deploy, and operate production-grade event streaming platforms, with a focus onConfluent Kafka(or Apache Kafka). Manage Confluent Kafka clusters, including configuration, security (ACLs, TLS/mTLS), scaling, monitoring, and performance tuning (brokers, topics, producers, and consumers). Build and maintain robustCI/CD pipelines(e.g., Jenkins, GitLab CI) to facilitate rapid and reliable software releases, including automated deployment of Kafka resources (topics, connectors). Manage and administer container orchestration platforms, leveraging experience withCNCF tools(e.g.,Kubernetes , Prometheus, Grafana). Monitor system health, troubleshoot issues, and implement proactive measures to enhance operational stability. Maintain strongGeneral Linux knowledgefor system administration, scripting, and troubleshooting. Contribute to the continuous improvement of our DevOps practices, tools, and processes.Required Qualifications & Skills Minimum of 5 years of experience in a DevOps, Infrastructure, or SRE role. Proven expertise with at least one majorcloud provider(AWS, Azure, or GCP). Strong, hands-on experience administering and tuning production Kafka clusters (Apache or Confluent Kafka). Expert-level proficiency in configuration management, specificallyAnsible . Deep practical experience withTerraformfor provisioning complex infrastructure. Solid foundation inGeneral Linux administration , shell scripting (Bash, Python). Hands-on experience withDockerandKubernetesor other relevantCNCF tools . Strong understanding of networking, security (especially around event streaming), and monitoring in a cloud-native environment. Excellent problem-solving, analytical, and communication skills.Nice-to-Have Skills Familiarity with the Confluent ecosystem components (e.g., Schema Registry, Kafka Connect, KSQL/ksqlDB, Control Center). Experience withMLOps toolssuch asMLflow , Kubeflow, or similar platforms used for managing the machine learning lifecycle. AI monitoring experience Familiarity with advanced security practices (e.g., security scanning, secrets management). Relevant professional certifications (e.g., Confluent Certified Administrator for Apache Kafka (CCAAK), AWS Certified DevOps Engineer - Professional, CKA/CKAD).Recruitment process: Our recruitment process has 3 stages: First discovery short interview with our HR team Technical interview with our Team Leaders Final interview with our Head of AreaHow to apply: You can apply via LinkedIn or send your cv to