Ofertas de empleo en Kapsch Group

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada9 sept.

Teletrabajo Java Python Agile Cloud Coumputing R Spark Machine Learning

Kapsch is one of Austria's most successful global technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future.

We are looking for Machine Learning Engineer. If you have a proficient background in information technology with a specific focus on ML related to Data Science/Engineering and you´re passionate about mobility and traffic data in this field, apply for the role and grow with us!

Your Responsibilities

• You design and build ML services to power our data products enabling data-driven decisions to improve traffic safety and prediction accuracy
• You develop, train and test ML models to perform information retrieval and forecast analysis for mobility and traffic data domain
• Using large data-sets to develop algorithms capable of learning and eventually making predictions
• Analyzing use cases of ML algorithms, ranking by success probability and applying the outcome to support business decisions
• Enriching existing ML frameworks and libraries
• You productize training models and package them into independent software services
• You continuously improve deployed models by applying state-of-the-art techniques as well as code and data set quality, you are automating what is not
• Contribution to software development in close collaboration with the team
  
  

• Bachelor Degree in Computer Science or related (we will also consider equivalent practical experience)
• Experience in product development of ML related products and solutions
• Solid understanding of ML algorithms, proficient in math and statistics
• Proficient experience with programming languages and data tools
• Hands-on with Python, NumPy, Pandas, Matplotlib, scikit-learn, model/code-testing
• Experience in building up machine learning train and release pipelines
• Analytical mindset and solution driven personality
• You practice and live the agile mindset
• Good oral and written English
  
  

• Knowledge of time series and geo-data
• Experience with Tensorflow, Keras, R, Jupyter
• Knowledge of data version control and ML-metadata
• Practical knowledge of CI/CD tools
• Good to have: Java, Spark, Flink, Cloud
  
  

• Permanent role
• Flexible working hours
• Hybrid working model (3 days of remote work/week)
• 29 business days of annual leave
• Flexible remuneration plan

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 sept.

Docker Kubernetes DevOps Terraform Office

Kapsch is one of Austria's most successful global technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future.

The Role

As a DevOps Engineer at Kapsch, you will be responsible for providing ongoing build and deployment support for the DYNAC product, which is a high-performance integrated software suite deployed at virtual transportation facilities around the world. Built on open architecture and incorporating an extensive use of open source software, DYNAC includes integrated bridge, tunnel and life safety management solutions, power management capabilities, and integrated SCADA.

In this role, you will help develop and institute an automated and repeatable CI/CD framework for our software suite. We are looking for innovative thinkers who can architect creative solutions and also identify opportunities for new tools, processes, and systems. You will also bring a fresh perspective on how SDLC should be done from test-driven deployment to CI/CD deployment.

Responsibilities

• Design, implement, and maintain scalable Kubernetes infrastructure
• Collaborate with development teams to containerize applications and deploy them on Kubernetes
• Optimize Kubernetes cluster performance, resource utilization, and cost-effectiveness
• Implement and manage monitoring, logging, and alerting solutions for Kubernetes environments
• Ensure the security of Kubernetes clusters by following best practices and implementing security controls
• Automate Kubernetes deployment and management processes using infrastructure as code tools
• Troubleshoot and resolve issues related to Kubernetes infrastructure and deployments
• Stay up-to-date with Kubernetes ecosystem developments and propose improvements
  
  

• Knowledge of Kubernetes concepts, like pods, services, deployments, and stateful sets.
• Experience with container runtimes like Docker and containerd.
• Familiarity with Kubernetes networking, including CNI plugins, ingress controllers, and service meshes.
• Knowledge of infrastructure as code tools, such as Helm, Kustomize, or Terraform.
• Ability to set up monitoring, logging, and alerting for Kubernetes clusters.
• Understanding of Kubernetes security best practices, like RBAC, network, and pod security policies.
  
  

• Permanent contract
• Hybrid woking model (2 days at the office per week)
• Flexible working hours
• Flexible remuneration plan
• 30 business days of vacations
• Challenging limits of mobility for a healthy world without congestion
• Space for creating innovative solutions and ideas for our fast growing markets
• Onboarding with an experienced team to get familiar with the business
• An international working environment

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 sept.

Teletrabajo .Net C# Agile Azure C++ Cloud Coumputing Microservices Git AWS DevOps QA

Kapsch is one of Austria's most successful global technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future.

Overview

We are seeking a highly skilled Senior Software Engineer with extensive expertise in .NET to join our dynamic international team. The ideal candidate will have significant experience in developing scalable and robust applications, with a strong focus on microservices architecture. Knowledge of Rust and C++ is highly valued, as it will help in implementing performance-critical services within our system.

Key Responsibilities

• C# Development: Design, develop, and maintain high-performance applications using C#.
• Microservices Architecture: Architect, build, and deploy microservices that are scalable, maintainable, and efficient.
• Performance-Critical Services: Leverage knowledge in Rust or C++ to implement performance-critical services.
• Documentation: Document system design and architecture comprehensively to ensure clarity and maintainability.
• Code Quality: Ensure high-quality code through best practices in coding, design patterns, unit testing, and code reviews.
• Collaboration: Work closely with cross-functional teams, including DevOps, QA, and Product Management, to deliver high-quality software on time.
• Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement.
• Continuous Improvement: Stay updated with the latest industry trends, tools, and technologies, and recommend improvements to the development process.
  
  

• .NET Expertise: Extensive experience with the .NET framework and C#.
• Microservices: Proven experience in designing and implementing microservices architecture.
• Experience with ZMQ and Protobuf: Familiarity with messaging and communication protocols such as ZeroMQ (ZMQ) and Protobuf.
• Version Control: Proficient in using Git for version control and collaboration.
• Agile Methodologies: Experience working in an Agile/Scrum environment.
• Performance Optimization: Strong understanding of performance optimization, particularly in resource-constrained environments, is a bonus.
• Rust and C++ Knowledge: Proficiency in Rust or C++ for implementing performance-critical services is highly desirable.
• Cloud Experience: Experience with cloud platforms such as Azure or AWS is highly desirable.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to tackle complex technical challenges.
• Languages: good written and oral English skills. Knowledge of Spanish is nice to have.
  
  

• Permanent role
• Flexible working hours
• Hybrid working model (3 days of remote work/week)
• 30 business days of annual leave
• Flexible remuneration plan
• An interesting full-time position within a global renowned family owned company.
• Challenging limits of mobility for a healthy world without congestion
• Space for creating innovative solutions and ideas for our fast growing markets