cloud infrastructure engineer

GeekSoft Consulting

<div>
 <ul>
 <li>
 Help design, build and continuously improve the clients online platform.
 
 </li>
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 Research, suggest and implement new technology solutions following best practices/standards.
 
 </li>
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 Take responsibility for the resiliency and availability of different products.
 
 </li>
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 Be a productive member of the team.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 <ul>
 <li>
 Strong experience as an Azure DevOps/CI/CD Infrastructure Engineer with expertise in designing, implementing, and optimizing cloud infrastructure and automated deployment pipelines on Microsoft Azure.
 
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 <li>
 Hands-on experience designing and implementing CI/CD pipelines using Azure DevOps and GitHub Actions.
 
 </li>
 <li>
 Experience automating build, test, and deployment workflows across multiple environments.
 
 </li>
 <li>
 Strong expertise in managing Azure infrastructure, including Virtual Machines, App Services, AKS, Networking, Storage, and Databases.
 
 </li>
 <li>
 Experience developing and managing Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep.
 
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 <li>
 Hands-on experience integrating infrastructure with CI/CD pipelines and implementing automated deployment and rollback strategies.
 
 </li>
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 Experience implementing monitoring and observability using Azure Monitor, Log Analytics, and Application Insights.
 
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 <li>
 Strong understanding of Azure security, DevSecOps practices, Azure AD, RBAC, and cloud governance.
 
 </li>
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 Experience collaborating with Development, Architecture, Platform, Operations, and Site Reliability Engineering (SRE) teams to deliver scalable and secure cloud solutions.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 A challenging, innovating environment.
 
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 <li>
 Opportunities for learning where needed.
 
 </li>
 </ul>
</div>

Azure Infra Engineer

Optics11

<div>
 We are expanding our team with a
 
 Data &amp; ML Infrastructure Engineer
 
 who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
 
 
 In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
 
 
 This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.
 </li>
 <li>
 Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.
 </li>
 <li>
 Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.
 </li>
 <li>
 Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.
 </li>
 <li>
 Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.
 </li>
 <li>
 Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.
 </li>
 <li>
 Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.
 </li>
 <li>
 Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.
 </li>
 <li>
 Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.
 </li>
 <li>
 Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.
 </li>
 <li>
 Manage resource and cost controls, including budgets, approvals, and tracking.
 </li>
 <li>
 Contribute to documentation, operational runbooks, and onboarding materials for the platform.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Join one of Europe&rsquo;s most promising deep-tech scale-ups.
 </li>
 <li>
 Shape the future of a rapidly growing multidisciplinary R&amp;D organization.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Enjoy regular team activities and company events.
 </li>
 <li>
 Fresh team lunches provided3 times/ week.
 
 
 
 </li>
 </ul>
 Required Qualifications:
 
 
 <ul>
 <li>
 MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.
 </li>
 <li>
 Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).
 </li>
 <li>
 Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.
 </li>
 <li>
 Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).
 </li>
 <li>
 Experience with AWS Sagemaker or Google Vertex AI platforms.
 </li>
 <li>
 Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).
 </li>
 <li>
 Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).
 </li>
 <li>
 Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).
 </li>
 <li>
 Experience with CI/CD systems (e.g., GitLab CI).
 </li>
 <li>
 Programming skills in Python.
 </li>
 <li>
 Experience with monitoring and observability tools (Prometheus, Grafana).
 </li>
 <li>
 Understanding of DevOps and MLOps practices.
 </li>
 <li>
 Ability to work across teams and translate requirements into scalable infrastructure solutions.
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Knowledge of data governance, IAM, and security frameworks.
 </li>
 <li>
 Experience with cost optimization and resource management in cloud environments.
 </li>
 <li>
 Familiarity with multi-tenant or multi-product platform architectures.
 </li>
 <li>
 Experience working with EU data compliance constraints in energy, maritime or defense.
 
 
 
 </li>
 </ul>
 
 Security &amp; Compliance:
 
 
 
 You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.
</div>

Data & ML Infrastructure Engineer

<div>We are expanding our team with a Data &amp; ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.</li><li>
Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.</li><li>
Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.</li><li>
Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.</li><li>
Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.</li><li>
Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.</li><li>
Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.</li><li>
Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.</li><li>
Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.</li><li>
Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.</li><li>
Manage resource and cost controls, including budgets, approvals, and tracking.</li><li>
Contribute to documentation, operational runbooks, and onboarding materials for the platform.</li></ul><h4 class="jobSectionHeader">
Why Join Us?</h4><ul><li>
Join one of Europe&rsquo;s most promising deep-tech scale-ups.</li><li>
Shape the future of a rapidly growing multidisciplinary R&amp;D organization.</li><li>
Competitive salary and benefits package.</li><li>
Enjoy regular team activities and company events.</li><li>
Fresh team lunches provided3 times/ week.</li></ul><h4 class="jobSectionHeader"> 
Required Qualifications:</h4><ul><li>
MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.</li><li>
Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).</li><li>
Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.</li><li>
Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).</li><li>
Experience with AWS Sagemaker or Google Vertex AI platforms.</li><li>
Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).</li><li>
Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).</li><li>
Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).</li><li>
Experience with CI/CD systems (e.g., GitLab CI).</li><li>
Programming skills in Python.</li><li>
Experience with monitoring and observability tools (Prometheus, Grafana).</li><li>
Understanding of DevOps and MLOps practices.</li><li>
Ability to work across teams and translate requirements into scalable infrastructure solutions.</li></ul>
Nice to Have:<ul><li>
Knowledge of data governance, IAM, and security frameworks.</li><li>
Experience with cost optimization and resource management in cloud environments.</li><li>
Familiarity with multi-tenant or multi-product platform architectures.</li><li>
Experience working with EU data compliance constraints in energy, maritime or defense.</li></ul>
Security &amp; Compliance:
You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.</div>

HCLTech

Amsterdam, Noord-Holland
 Job Summary
 
Need a secure access file transfer engineer with Devops knowlege
 
Key Responsibilities
 
Job Responsibilities : Design and operate the interactive access service based on Apache Guacamole, containerized on OpenShift, translating HTTPS to native protocols (SSH, RDP, SQL, VNC) Build and maintain the file transfer service using S3 presigned URLs with time-bound expiry and tenant-scoped bucket/path access controls Engineer tenant isolation within shared SaaS-style deployments, ensuring each consuming team only accesses their own targets through predefined connections and network-level controls Design credential lifecycle automation: retrieval/seeding at session start, reset/removal at session stop, integrated with Privileged Access Management and credential stores Build session recording and logging pipelines shipping audit data to tenant-specified log repositories (Kafka, S3, Git) Implement metering and billing event generation for per-tenant consumption tracking Develop CI/CD pipelines for automated platform lifecycle management: provisioning, start, stop, decommissioning (immutable infrastructure / cattle model) Collaborate with security teams to refine detection scenarios every sprint and maintain audited control reporting (Seven IT Risk Controls, COBIT framework) Define and monitor SLIs/SLOs: start latency, session success rate, recording completeness, tenant isolation violations, credential reset compliance
 
Skill Requirements
 
Skill Requirement : 3+ years hands-on experience with Kubernetes/OpenShift in production (deployment, networking, RBAC, persistent storage, operators) Proficiency in Go and Python for platform service development, automation, and tooling Strong Linux systems engineering (SSH, networking, security hardening, systemd) Container orchestration and CI/CD pipeline design (Helm, ArgoCD, Tekton, or equivalent) S3-compatible object storage (MinIO or AWS S3): presigned URLs, bucket policies, IAM integration Azure DevOps for backlog management, CI/CD pipelines, and release workflows Infrastructure as Code: Terraform, Ansible, or equivalent Understanding of security principles: zero-trust, defence-in-depth, protocol insulation, MFA, credential management Experience with IAM systems, directory services integration, and conditional access policies Familiarity with logging and monitoring stacks (Kafka, Elasticsearch, Prometheus/Grafana)
 
Other Requirements
 
Other Requirement : VMware Cloud Foundation (VCF) experience or familiarity with VCF-based infrastructure Experience with Privileged Access Management tooling (CyberArk, HashiCorp Vault) Experience with Apache Guacamole or similar remote access gateway technologies RDP and Windows Server administration knowledge Experience in regulated financial services environments (DORA, NIS2, or equivalent regulatory frameworks) Understanding of network segmentation and firewall rule management SOC2 Type 2 reporting or equivalent security assurance frameworks Experience designing metering/billing event pipelines for internal platform products
 
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SME - Microsoft Azure - IaaS, Azure Kubernetes Service

Tribe28

<div>
 
 We are seeking a DevOps engineer who specializes in the integration and automation of software development and IT operations. As a DevOps engineer, you work to streamline the software delivery process, from development to deployment, by utilizing various tools and methodologies that help to automate and optimize workflows.
 
 
 
 
 
 Your primary responsibility is to facilitate collaboration between development and operations teams. You will use your expertise in software development, system administration, and automation to build and maintain automated systems that can deploy, manage, and monitor software applications in production environments.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, create, own, and maintain systems and service deployments
 </li>
 <li>
 Continuously improve infrastructure for better scalability, security, and
 </li>
 </ul>
 
 fault tolerance
 
 <ul>
 <li>
 Integrate DevOps methodology into development, deployment, and
 </li>
 </ul>
 
 operations lifecycle
 
 <ul>
 <li>
 Create super clean, well-structured, efficient deployment, monitoring, and
 </li>
 </ul>
 
 application management scripts
 
 <ul>
 <li>
 Enable rapid deployment of new product features with the necessary
 </li>
 </ul>
 
 safeguards to maintain stability, high availability, and performance
 
 <ul>
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 Optimize infrastructure and phase out legacy systems.
 </li>
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 Monitor and proactively troubleshoot cloud and infra resources.
 </li>
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 Share your knowledge with regular knowledge-sharing sessions
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 <li>
 Clear documentation of your work.
 </li>
 <li>
 Keep application compliance with IT risk policies
 </li>
 <li>
 Maintain access matrix
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong experience managing, maintaining, and automating infrastructure (IaC)
 </li>
 <li>
 Proficient in at least one higher-order scripting language (e.g. Python)
 </li>
 <li>
 Strong experience in Container technologies.
 </li>
 <li>
 Strong experience with Container Orchestration tools. (OpenShift, Kubernetes)
 </li>
 <li>
 Strong experience automating the integration and deployment of
 </li>
 </ul>
 
 software (preferably via Azure Devops)
 
 <ul>
 <li>
 Strong experience using logging and monitoring tools to improve observability
 </li>
 </ul>
 
 across systems (e.g.(Grafana, Kibana, Prometheus, Collected)
 
 <ul>
 <li>
 Experience with ansible and/or other configuration management systems.
 </li>
 <li>
 Experience with Databases (e.g. Oracle, Mssql).
 </li>
 <li>
 Experience with Cloud (Azure, AWS).
 </li>
 <li>
 Experience with Linux
 </li>
 </ul>
 
 
 
 
 Tribe28 offers a competitive salary and a dynamic work environment that fosters growth and creativity. Join this team if you want to be a part of something big. We are not just looking for an employee, we&rsquo;re looking for a problem solver and an innovator but mostly a collaborator. If you have a passion for IT and enjoy working on challenging projects that can and will inspire you, apply now and make something amazing!
 
</div>

DevOps Engineer

Hi Tech-IT

<div>
 
 
 DevOps Engineer
 
 
 
 Bouw mee aan innovatieve IT-oplossingen
 
 
 Ben jij een DevOps Engineer die graag software ontwikkelt &eacute;n infrastructuur automatiseert? Werk je graag met moderne technologie&euml;n en wil je een belangrijke rol spelen in het ontwikkelen van schaalbare en betrouwbare oplossingen? Dan is dit een functie waarin je veel technische uitdaging en vrijheid vindt.
 
 
 Wat ga je doen?
 
 
 Als DevOps Engineer werk je binnen een multidisciplinair team aan de ontwikkeling en verbetering van software die wordt ingezet binnen complexe IT-omgevingen. Je bent betrokken bij het volledige ontwikkelproces: van ontwerp en implementatie tot automatisering en optimalisatie.
 
 
 
 
 
 Je werkzaamheden bestaan onder andere uit:
 
 <ul>
 <li>
 Ontwikkelen van backend applicaties en API's.
 </li>
 <li>
 Bouwen en verbeteren van CI/CD pipelines.
 </li>
 <li>
 Automatiseren van deployment- en beheerprocessen.
 </li>
 <li>
 Werken met containers en cloud-native technologie&euml;n.
 </li>
 <li>
 Integreren van verschillende systemen en platformen.
 </li>
 <li>
 Optimaliseren van prestaties, stabiliteit en schaalbaarheid.
 </li>
 <li>
 Samenwerken met softwareontwikkelaars, cloud engineers en infrastructuurspecialisten.
 </li>
 <li>
 Actief meedenken over technische verbeteringen en nieuwe oplossingen.
 </li>
 </ul>
 
 
 
 
 Wat neem je mee?
 
 <ul>
 <li>
 HBO- of WO-werk- en denkniveau.
 </li>
 <li>
 Ervaring met softwareontwikkeling, bij voorkeur in Python, Go of Java.
 </li>
 <li>
 Ervaring met Git en CI/CD tooling.
 </li>
 <li>
 Goede kennis van Linux.
 </li>
 <li>
 Ervaring met Docker en Kubernetes.
 </li>
 <li>
 Kennis van Infrastructure as Code, zoals Terraform of Ansible, is een pr&eacute;.
 </li>
 <li>
 Je bent analytisch, zelfstandig en houdt van technische uitdagingen.
 </li>
 <li>
 Goede beheersing van de Nederlandse taal.
 </li>
 </ul>
 
 
 
 
 Wat krijg je ervoor terug?
 
 <ul>
 <li>
 Een uitstekend salaris afhankelijk van jouw kennis en ervaring.
 </li>
 <li>
 Leaseauto of mobiliteitsbudget.
 </li>
 <li>
 Hybride werken met veel flexibiliteit.
 </li>
 <li>
 Laptop en telefoon van de zaak.
 </li>
 <li>
 Uitstekende pensioenregeling.
 </li>
 <li>
 Opleidingsbudget en volop certificeringsmogelijkheden.
 </li>
 <li>
 Werken met de nieuwste technologie&euml;n binnen uitdagende projecten.
 </li>
 <li>
 Veel ruimte voor eigen initiatief en persoonlijke ontwikkeling.
 </li>
 <li>
 Een informele organisatie met korte lijnen en een collegiale werksfeer.
 </li>
 </ul>
 
 
 
 
 Waarom deze functie?
 
 
 Je komt terecht in een technisch gedreven organisatie waar innovatie, automatisering en kwaliteit centraal staan. Je krijgt veel verantwoordelijkheid, werkt met moderne tooling en hebt alle ruimte om jezelf verder te ontwikkelen als DevOps Engineer.
 
 
 Interesse? Neem contact op voor meer informatie of solliciteer direct.
 
</div>

Canyon Bicycles GmbH

We are a community open to everyone. One global team where everyone counts.
 
Join the Canyon team and work at the cutting edge of the bike industry, with a job as versatile and exciting as the bikes we develop. All in an open, international atmosphere where teamwork, collaboration, true innovation, and a dynamic workplace are all part of our everyday. Ready to ride with us?
 
Stellenbeschreibung
 
THE ROLE
 
As a direct-to-consumer e-commerce company, our digital products are part of the Canyon DNA and a key factor in delivering our brand experience to our customers. We're looking for a DevOps Engineer (m/f/d) who owns the infrastructure behind our apps — including our Backend for Frontend architecture in Azure — and the deployment processes that ship them. You will act as an important interface between our various digital products, and you'll value active contribution and the continuous optimisation of existing processes to improve ourselves as a team and, above all, our solutions.
 
This role can be hired in Koblenz, Amsterdam or Barcelona.
 
YOUR JOB AS PART OF THE CANYON CREW
 
In your first months: 
Infrastructure Provisioning
 
: Provision, set up, and operate the infrastructure for our apps, including our Backend for Frontend architecture in Azure.
 
CI/CD Optimization
 
: Maintain and improve our Continuous Integration (CI) and Continuous Delivery (CD) tooling.
 
Process Automation
 
: Automate build, deployment, and release processes to make shipping safe and repeatable.
 
Infrastructure as Code (IaC)
 
: Manage infrastructure as code with Terraform across our Azure environments.
 
As you grow into the role: 
Strategic Infrastructure Ownership
 
: Own the strategy, provisioning, and administration of the infrastructure behind our deployment, monitoring, and test automation processes.
 
Platform Development
 
: Continuously develop and optimise our processes and software platforms.
 
Interface Management
 
: Act as the interface between app development and our e-commerce and CRM systems.
 
Observability & Operational Readiness
 
: Strengthen observability and operational readiness through structured monitoring, logging, and alerting.
 
Reliability Engineering
 
: Improve reliability through automation, reducing manual operational toil.
 
Technical Environment
 
We build and operate our platforms on Azure and automate everything we can. Specific experience with these tools is a plus, but strong fundamentals matter most.
 
Cloud & Infrastructure
 
Microsoft Azure
 
Infrastructure as Code with Terraform
 
Backend for Frontend architecture in Azure
 
Server systems (Windows, Mac, Linux)
 
CI/CD & Automation
 
Continuous Integration and Continuous Delivery pipelines
 
Automated build, deployment, and release processes
 
DevOps tooling (e.g. Azure DevOps, Bitbucket)
 
Scripting (e.g. Java, JavaScript, Python, Ruby)
 
Observability & Operations
 
Monitoring, structured logging, and alerting (Grafana Cloud)
 
Test automation infrastructure
 
HOW YOU BECOME PART OF THE RACE
 
At least three years of professional experience in a DevOps, infrastructure, or platform role
 
Solid knowledge of scripting languages
 
Strong knowledge of MS Azure and hands-on experience with Terraform
 
Experience with DevOps tooling
 
Knowledge of various server systems
 
Familiarity with agile methodologies in your day-to-day work
 
A self-driven, independent working style combined with strong professional communication within and beyond your team
 
Excellent written and spoken English
 
A completed degree in computer science, business informatics (or a comparable field), or a vocational qualification in IT
 
Nice to Have
 
Experience supporting e-commerce and CRM systems
 
Containerisation and orchestration experience
 
Cost-awareness and performance optimisation in cloud environments
 
Comfort working with AI-assisted development tools (e.g. Codex, Claude, or similar agentic coding environments)
 
Interest in connected products or the cycling domain
 
HIGHLIGHTS ON YOUR CANYON TOUR
 
The Canyon Crew & Culture: 
Combine energy and transparency in a global team. We promote a strong feedback culture, unique Canyon events, and inspiring crew rides. Your voice matters in creating an inclusive workplace where well-being is a priority.
 
Feel Canyon (Product Perks): 
Unlock your passion for cycling! Enjoy exclusive discounts on bikes, gear, and apparel as part of our commitment to fueling your journey.
 
Compensation & Rewards: 
Experience a rewarding career with a competitive market-based salary and generous paid time off. Your satisfaction is our priority.
 
Life-Work Integration: 
Join us for a career that prioritizes balance through flexible and hybrid work options in a family-friendly environment.
 
Impact & Development: 
Shape the future of mobility. We offer diverse career paths across operational, strategic, creative, or technical roles, where innovation and sustainability consistently challenge and inspire you.

DevOps ENGINEER (M/F/D)

Explore 68+ Cloud infrastructure engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.

68 cloud infrastructure engineer jobs In Amsterdam

Azure Infra Engineer

Data & ML Infrastructure Engineer

Data & ML Infrastructure Engineer

SME - Microsoft Azure - IaaS, Azure Kubernetes Service

DevOps Engineer

DevOps Engineer

DevOps ENGINEER (M/F/D)