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Platform and DevSecOps Engineer (BIN)

Key Responsibilities – Infrastructure Management: Design, implement, and manage cloud-based infrastructure with a focus on GCP (Google Cloud Platform). – Build, automate and maintain CI/CD pipelines and tools for different platform, pipelines and applications to achieve deployments and operations automation ensuring the highest levels of availability, performance and security. – Act as subject matter expert for support teams, project team, demand team and integrators to ensure that requirements are understood, documented, and delivered to a high standard. – Containerization & Helm: Deploy and manage Docker containers and Kubernetes orchestration for scalable applications utilizing Helm and/or ArgoCD. – Drives improvements in day to day operations and engineering activities of the tools and automation team applying DevOps principles and best practices to improve deployment cycles and system reliability. – Develop functional and sustainable services & applications with clean code. Knowledge and experience – Excellent knowledge of Devops Tools such as GitHub, GitHub Actions, Jenkins, GCP, Kubernetes and running dockerized services on top of it, Linux/System administration, and “Infrastructure as Code” using Terraform. – Design, configuration, optimisation and administration of IT and network service management tools and related software and hardware like CI/CD E2E pipeline. – Ability to build and optimize business services, business processes and IT services modelling. – Understanding of Incident Management, Change Management, Capacity and Performance Management ITIL, DevSecOps disciplines with strong proficiency in developing complex automation. – Very good knowledge and understanding of Networking, Databases, DNS, proxies & Security. ust have – 4+ years of hands-on experience in a DevOps role with a proven track record of successful projects. – Technical knowledge of GCP, Linux, and CI/CD pipeline development (Jenkins,GitHub Actions and Azure DevOps) and implementation. – Infrastructure Automation (IaC): Experience with tools such as Terraform and Ansible for automating cloud infrastructure. – DevSecOps & SaaS Governance: Secure software development practices and policy-as-code frameworks (e.g., GitHub Advanced Security, shift-left security). – Advanced experience with Terraform for complex infrastructure setups. – Proven experience in system administration and service automation. – Strong proficiency in Python and Bash; ability to develop complex automation scripts. – Demonstrated experience developing, deploying, and implementing devops pipelines and tools. – Proficiency in setting up and managing comprehensive monitoring and alerting solutions. – Extensive experience with Docker and Kubernetes, including setting up and managing clusters. – Demonstrated experience developing system integration and automation capability to improve operational response time and accuracy in diagnosing and resolving issues. – Demonstrated ability to evaluate system efficiency, develop system performance metrics, and drive continual process improvement of IT/network management systems. – Monitored clusters, cloud resources, and apps using Prometheus, Datadog, and Elasticsearch. – Containerization (Kubernetes, Docker, Helm). – Good knowledge of backup/recovery, disaster recovery, vulnerability, and patch management. Language: English mandatory. Work mode: 100% remote. Join Us! Become part of a team driven by innovation, belief in talent, and a commitment to excellence. Your next career step starts here.

AI ENGINEER

E’ richiesta un’ ottima conoscenza di Python, esperienza pratica su Google Cloud Platform, conoscenza dei servizi Vertex AI e conoscenza dei pattern architetturali LLM (RAG, Agents)

DATA ENGINEER/DATA SECURITY SPECIALIST

Cloudera, Apache Atlas, Apache Ranger, Protegrity, Precisely, Spark e NiFi Sono richieste anche competenze o esperienza in Big Data, Data Quality, Cifratura del dato e Ingestion dei dati.