12 beste vacatures voor de functie van devops engineer in weesp (nieuwe medewerkers gezocht)

Data & ML Infrastructure Engineer
Optics11 —Amsterdam-Zuidoost
- Fulltime
- Informatica
- Azure
- DevOps
Snel solliciteren
DevOps Engineer SCADA | Energy & Utilities
Capgemini —Utrecht
- € 4.000 - € 5.500 per maand
- Informatica
- Informatica
- DevOps
Senior DevOps DBA - MS SQL Server
Schuberg Philis —Schiphol
- Parttime
- Azure
- Troubleshooting
- DevOps
Senior DevOps Engineer (Azure)
Sytac - Openings —Amsterdam
- Azure
- DevOps
- Analytisch vermogen
- Budget voor professionele ontwikkeling
Snel solliciteren
DevSecOps
Lepaya —Amsterdam
- Hybride werken
- Salesforce
- DevOps
- Engels
- Werk vanuit huis
- Flexibele werkuren
Snel solliciteren
15 uur
Software Engineer - Battery Controller & Infrastructure
iwell —Utrecht
- € 5.400 - € 6.100 per maand
- Fulltime
- Hybride werken
- Azure
- DevOps
- Engels
- Telefoonplan
Snel solliciteren
Senior Azure DevOps Engineer
CGI —Randstad
- Azure
- Troubleshooting
- DevOps
Snel solliciteren
Dev Ops Engineer C
Fill You In —Utrecht
- Fulltime
- Azure
- DevOps
- Administratieve ervaring
11 uur
DevOps Specialist met ontwikkelervaring
I&DT Software Groep —Zaandijk
- E-mail
- Azure
- DevOps
- Kantoor
Dev Ops Engineer C - .Net
Fill You In —Utrecht
- Fulltime
- Azure
- DevOps
- Engels
5 uur
Senior Automation Tester | Consultancy | DevOps
MatchMatters BV —Utrecht
- € 45 - € 60 per maand
- Fulltime
- Hybride werken
- Informatica
- Azure
- Informatica
- Budget voor professionele ontwikkeling
Snel solliciteren
DevOps coach
InnSpire —Randstad
- € 6.000 - € 10.000 per maand
- Parttime
- DevOps
- Master
- Bachelor
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling

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Data & ML Infrastructure Engineer

Optics11 -
Amsterdam-Zuidoost

Snel solliciteren

Vacaturegegevens

Fulltime

Secundaire arbeidsvoorwaarden

Bedrijfsfeesten

Kwalificaties

CI/CD
Informatica
Cloud infrastructure
Azure
Kubernetes
DevOps
Google Cloud Platform
MongoDB
Master
Databases
AWS
Docker
PostgreSQL
Terraform
Continuous integration
Veiligheid
Schaalbaarheid
Kafka
AI
GitLab
Python
Gebruikersbeheer

Volledige vacaturetekst

We are expanding our team with a Data & 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:

Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.
Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.
Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.
Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.
Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.
Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.
Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.
Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.
Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.
Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.
Manage resource and cost controls, including budgets, approvals, and tracking.
Contribute to documentation, operational runbooks, and onboarding materials for the platform.

Why Join Us?

Join one of Europe’s most promising deep-tech scale-ups.
Shape the future of a rapidly growing multidisciplinary R&D organization.
Competitive salary and benefits package.
Enjoy regular team activities and company events.
Fresh team lunches provided3 times/ week.

Required Qualifications:

MSc or equivalent with 5+ years’ industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.
Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).
Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.
Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).
Experience with AWS Sagemaker or Google Vertex AI platforms.
Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).
Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).
Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).
Experience with CI/CD systems (e.g., GitLab CI).
Programming skills in Python.
Experience with monitoring and observability tools (Prometheus, Grafana).
Understanding of DevOps and MLOps practices.
Ability to work across teams and translate requirements into scalable infrastructure solutions.

Nice to Have:

Knowledge of data governance, IAM, and security frameworks.
Experience with cost optimization and resource management in cloud environments.
Familiarity with multi-tenant or multi-product platform architectures.
Experience working with EU data compliance constraints in energy, maritime or defense.

Security & 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.

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devops engineer vacatures in weesp

Data & ML Infrastructure Engineer

DevOps Engineer SCADA | Energy & Utilities

Senior DevOps DBA - MS SQL Server

Senior DevOps Engineer (Azure)

DevSecOps

Software Engineer - Battery Controller & Infrastructure

Senior Azure DevOps Engineer

Dev Ops Engineer C

DevOps Specialist met ontwikkelervaring

Dev Ops Engineer C - .Net

Senior Automation Tester | Consultancy | DevOps

DevOps coach

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