You will also undertake proactive maintenance and administration of computer hardware and software, and operations tools in support of the delivery of the IT service. You will develop new tools and procedures for further customization and automatization of existing products and processes and improve system availability with proactive work to avoid outages and performance issues with particular focus on maintenance services for all infrastructure used by the Operations Centre.
What makes you stand out You hold a Bachelor's or Master's degree in Computer Science, IT, or a comparable technical qualification.You bring solid professional experience in cloud engineering – especially with Kafka and Kubernetes.You ideally have relevant certifications in cloud technologies or cloud architecture.You communicate clearly, proactively, and with strong structure – both in technical discussions and in cross‑team collaboration.You can explain complex technical topics in an understandable way, promote active knowledge sharing, and support others with an open and cooperative mindset.You have very good English skills; German is an advantage but not essential.
Schwarz Digits sucht in eine/n Senior MLOps / DevOps Engineer AI (Computer Vision) (m/w/d) (ID-Nummer: 13689687)
Implement best practices for software build, deployment, and maintenanceWork with our infrastructure organization on environment setup, automation, and streamlining the stand up and scale out of infrastructureDevelop and improve our monitoring and alerting systemsAssist with capacity planning and load testing of our applicationsAutomate the deployment of our platform and all the systems it depends onAdministration of AWS/AZURE resources including provisioning, monitoring and maintenanceManage Kubernetes cluster and continuously improve the deployment process of our applicationsWork cross-functionally with Engineering teams to outline the DevOps execution strategy for various projectsDrive automation efforts across the organization utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) such as Jenkins / Continuous Delivery (CD)Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience5-8 years’ experience in IT infrastructure work and expertise on AWS/AZURE platformsStrong knowledge of Docker containers and KubernetesExpertise in Linux Operating Systems, Networking, and Database conceptsPrior exposure to continuous integration/delivery tools like Jenkins/GitHub ActionsExperience with scriptingGood combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independentlyCertifications in AWS/AZURE and Kubernetes are a plusGerman Language (nice 2 have)We have been developing individual software for banks and insurance companies for more than 10 years.
Key Responsibilities: Design, build, and operate cloud-based services using modern container technologies (e.g., Kubernetes, Docker) and Platform-as-a-Service (PaaS) solutions.Integrate new technologies and products into the existing cloud infrastructure, ensuring compatibility and long-term sustainability.Support the integration and implementation of additional software components and integration systems following agile methodologies.Contribute to the definition of functional and technical requirements in collaboration with cross-functional teams.Evaluate emerging technologies within the context of existing solutions and support software development teams through enablement and knowledge transfer.Ensure stable and secure operation of the cloud infrastructure, including scalability of services, maintainability, performance optimization, and security hardening.Monitor production systems and cloud services, proactively detect issues, and ensure fast recovery and incident resolution when required. What makes you stand out Bachelor's degree or equivalent in Computer Science3+ years' experience in cloud developmentStrong experience with cloud platforms (e.g., Azure, AWS, or GCP).Hands-on expertise in containerization and orchestration (Docker, Kubernetes).Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, ARM, CloudFormation).Solid understanding of system monitoring, logging, and incident management.Knowledge of cloud security best practices.
Schwarz Digits sucht in eine/n Senior MLOps / DevOps Engineer AI (Computer Vision) (m/w/d) (ID-Nummer: 13645353)
Ihre Benefits attraktive Vergütungkontinuierliche Weiterentwicklung: individuelle Karriereplanung, Teilnahme an verschiedenen Programmen sowie Herstellerzertifizierungenflexible ArbeitsgestaltungMitarbeit in einem motivierten Team Möglichkeit zur Berufsunfähigkeitsversicherung & betriebliche Altersvorsorge Ihr Aufgabenbereich Planung und Umsetzung von Cloud-Lösungen auf Basis von Microsoft AzureBeratung von Kunden zur Identifikation aktueller Herausforderungen & Ableitung konkreter AnforderungenEntwicklung maßgeschneiderter Azure-Lösungsstrategien gemeinsam mit Kunden & TeamkollegenVorbereitung und Durchführung von Workshops beim Kunden vor Ort zur nachhaltigen Wissenssicherungaktives Verfolgen neuer Technologien und Azure-Updates zur kontinuierlichen Weiterentwicklung deines Cloud-Know-hows Das bringen Sie mit erfolgreich abgeschlossene Ausbildung als Fachinformatiker (m/w/d) oder ein Studium im Bereich Informatik, Wirtschaftsinformatik, Computer Science oder einem verwandten IT-Fachmindestens 3 Jahre Berufserfahrung als System Engineer, idealerweise mit fundiertem Know-how in Azure-Infrastrukturlösungen (wie z.
Zusätzlich genießt du zahlreiche Social Benefits (Mitarbeiter*innen-Restaurant / Unterstützung für Mittagessen, Inhouse-Pub / Lounge, Gratis-Parkplätze, umfangreiches Sportangebot, zahlreiche Mitarbeiter*innen-Events, Sprachkurse, …) Dein Profil Deine Leidenschaft gilt der Optimierung und Automatisierung komplexer Prozesse Du bist mit gitOps-Ansätzen vertraut und weißt, wie man sie erfolgreich einsetzt Du hast Erfahrung mit Google Cloud (alternativ auch Azure oder AWS) und kennst dich mit Technologien wie VPCs, Google Compute Engine (GCE), Google Kubernetes Engine (GKE) und der Google Ops Suite aus Du bist sicher in Bash und Python unterwegs – Kenntnisse in Golang sind ein Plus Du verfügst über sehr gute Deutsch (min.