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Devops engineer - cloud, automation & event streaming

Milano
Bitrock
Eventi
Pubblicato il Pubblicato 12h fa
Descrizione

Ph3Who we are /h3 pBitrock 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. /p pWe 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 from partnerships with key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian. /p h3Who we are looking for /h3 pAre you a seasoned DevOps professional with a passion for automating everything and deep expertise in cloud infrastructure and event streaming? We are looking for a highly motivated and skilled Senior DevOps Engineer to join our team. In this role, you will be crucial in designing, implementing, and maintaining our scalable, reliable, and secure infrastructure, deployment pipelines, and our Confluent Kafka platform. /p h3Key Responsibilities /h3 ul liDesign, implement, and manage highly available and scalable cloud infrastructure (e.g., AWS, Azure, GCP) using Infrastructure as Code (IaC) principles. /li liDevelop, configure, and maintain automation scripts and playbooks using Ansible for configuration management and application deployment. /li liImplement and manage infrastructure provisioning using Terraform to ensure consistent and reproducible environments across development, staging, and production. /li liDesign, deploy, and operate production‑grade event streaming platforms, with a focus on Confluent Kafka (or Apache Kafka). /li liManage Confluent Kafka clusters, including configuration, security (ACLs, TLS/mTLS), scaling, monitoring, and performance tuning (brokers, topics, producers, and consumers). /li liBuild and maintain robust CI/CD pipelines (e.g., Jenkins, GitLab CI) to facilitate rapid and reliable software releases, including automated deployment of Kafka resources (topics, connectors). /li liManage and administer container orchestration platforms, leveraging experience with CNCF tools (e.g., Kubernetes, Prometheus, Grafana). /li liMonitor system health, troubleshoot issues, and implement proactive measures to enhance operational stability. /li liMaintain strong General Linux knowledge for system administration, scripting, and troubleshooting. /li liContribute to the continuous improvement of our DevOps practices, tools, and processes. /li /ul h3Required Qualifications Skills /h3 ul liMinimum of 5 years of experience in a DevOps, Infrastructure, or SRE role. /li liProven expertise with at least one major cloud provider (AWS, Azure, or GCP). /li liStrong, hands‑on experience administering and tuning production Kafka clusters (Apache or Confluent Kafka). /li liExpert‑level proficiency in configuration management, specifically Ansible. /li liDeep practical experience with Terraform for provisioning complex infrastructure. /li liSolid foundation in General Linux administration, shell scripting (Bash, Python). /li liHands‑on experience with Docker and Kubernetes or other relevant CNCF tools. /li liStrong understanding of networking, security (especially around event streaming), and monitoring in a cloud‑native environment. /li liExcellent problem‑solving, analytical, and communication skills. /li /ul h3Nice‑to‑Have Skills /h3 ul liFamiliarity with the Confluent ecosystem components (e.g., Schema Registry, Kafka Connect, KSQL/ksqlDB, Control Center). /li liExperience with MLOps tools such as MLflow, Kubeflow, or similar platforms used for managing the machine learning lifecycle. /li liAI monitoring experience. /li liFamiliarity with advanced security practices (e.g., security scanning, secrets management). /li liRelevant professional certifications (e.g., Confluent Certified Administrator for Apache Kafka (CCAAK), AWS Certified DevOps Engineer – Professional, CKA/CKAD). /li /ul h3Recruitment process /h3 ul liFirst discovery short interview with our HR team /li liTechnical interview with our Team Leaders /li liFinal interview with our Head of Area /li /ul h3How to apply /h3 ul liYou can apply via LinkedIn or send your cv to /li /ul /p #J-18808-Ljbffr

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