9 beste Stellen als devops engineer (m/w/d) platform in berlin – aktuell auf Personalsuche

ML Platform Engineer | Berlin OR Hessen | Germany
Acquism SARL —Berlin
- Vollzeit
- Informatik
- Ohne Hochschulabschluss
- Kommunikationsfähigkeit
Senior DevOps Engineer (all genders) - simplesurance
Allianz —Berlin
- Vollzeit
3 Tage
Platform Engineer (all genders)
DigitalService GmbH des Bundes —Berlin
- 60.000 € – 70.000 € pro Jahr
- Java
- Softwareentwicklung
- Kommunikationsfähigkeit
- Flexible Arbeitszeiten
Direkt bewerben
Cloud Engineer (m/f/x)
UP42 GmbH —Berlin
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
9 Tage
Sr. Systems Engineer, Managed Operations
AWS European Sovereign Cloud Development Center GmbH —Berlin
- Vollzeit
DevOps Engineer (Mid, Senior)
Talon.One LinkedIn Jobs —Berlin
Direkt bewerben
Systems Engineer, Managed Operations, Managed Operations
AWS European Sovereign Cloud Development Center GmbH —Berlin
- Vollzeit
(Senior) Data Platform Engineer (all genders) - Parental leave cover 12 months
MOIA GmbH —Berlin
- Homeoffice-Möglichkeit
7 Tage
Senior Software Engineer - Go (All Genders)
SKD SE —Berlin
- Vollzeit
- Master
- Bachelor

Ich möchte aktuelle Job-E-Mails für Stellen als devops engineer (m/w/d) platform in berlin erhalten

devops engineer (m/w/d) platform jobs near berlin

Location: Berlin OR Hessen (Germany)

Work Model: Hybrid – 3 days in office

Contract Type: Permanent

Responsibilities

Design, develop, test, and maintain AI/ML infrastructure within a scalable microservices architecture running on Kubernetes.
Build and maintain high-quality, secure, and reliable DevOps pipelines and Helm charts
Work across the backend stack, integrating event-driven systems (Kafka), gRPC services, and REST APIs
Develop and optimize data pipelines using modern data engineering tools (e.g., Spark)
Manage ML lifecycle processes using tools such as MLflow
Contribute to architectural decisions to improve scalability, performance, and system reliability
Support deployment and monitoring of ML models in complex production environments, including isolated (air-gapped) setups with varying hardware constraints (CPU/GPU).
Ensure platform reliability and robustness in customer-deployed Kubernetes environments
Maintain high security and compliance standards aligned with industry best practices (e.g., ISO 27001)

Degree in Computer Science, Engineering, or equivalent practical experience
5+ years of experience in AI/ML platform engineering or related roles
Strong experience with Kubernetes, distributed systems, and data engineering technologies
Hands-on experience with ML platforms and frameworks (e.g., MLflow, PyTorch, SparkML)
Familiarity with modern data stack technologies (e.g., Spark, Delta Lake, TensorFlow, ONNX)
Experience building clean, maintainable, and testable systems following modern software engineering principles
Knowledge of cloud-native development and DevOps practices (including Helm)
Experience working in security-sensitive or highly regulated environments is a plus.
Strong problem-solving and debugging skills
Excellent communication skills in English and ability to collaborate across teams