Cloud Engineer

6 dni temu

Katowice, Silesia, Polska Reply S.p.A. Pełny etat

At Machine Learning Reply Poland, we strive to work on leading-edge data science projects with our clients for which we are seeking Cloud Engineer consultants with a strong technical background.

Machine Learning Reply, with its sister companies in Italy and Germany and over 8500 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science, Cloud technologies, and the right organizational frameworks as their backbone. We are a tight-knit, laid-back, but seriously motivated unit that aims to be involved at conferences and in the community of practice with our tech partners.

We offer tailor-made end-to-end cloud-based solutions in the Data Science area that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready algorithms.

We have vast expertise in every step of the Data Science implementation spectrum in all key industries of the German HDAX companies. With a focus on open source and cloud technologies, we enable our customers to successfully introduce and implement new data-driven solutions and optimize already existing processes and products while simultaneously adapting to cloud technologies.

Job Responsibilities:
  • Define solution architectures using cloud technologies and discuss them with the client.
  • Combine expertise in data pipelines and machine learning with innovative thinking to deliver excellent client work.
  • Work together with Data Scientists and Data Engineers to develop pipelines for the implementation of fully-fledged MLOps Pipelines.
  • Help the customer with important decisions as a Senior Consultant.
  • Draft Cloud adoption strategies for customers in all maturity levels.
  • Support the customer in operating the solution in a professional way.
  • Stay on top of emerging technologies, and partner with market-leading technology organizations to understand and leverage their products.
  • Take advantage of our team, learning resources, hackathons, and other sources to drive your technical development and be present in the machine learning community.
Why us?
  • Work in a great multicultural team on interesting projects with new technologies.
  • Join a network of data science and cloud experts and enthusiasts from our sister companies.
  • Dedicated training days for your professional growth.
  • Bonuses are focused on personal growth (e.g. trainings) or sharing knowledge with the team and are mutually agreed with your Manager.
  • We have several team-building events throughout the year (Knowledge Shares, Reply XChange, Summer & Winter workshop, Hackathons, Webinars, Brown Bag sessions, etc.)
  • Free German Lessons.
  • Easy to get involved in topics of running a consulting business: HR, Sales, Marketing, Project Staffing.
  • Buddy Program: You will get a Buddy to help you get started.
Minimum Requirements:
  • You have at least 2 years of work experience in industry or consulting and developed systems that are in production.
  • Experience with Cloud Technologies, such as AWS, Azure, or GCP.
  • Experience working with DevOps: CI/CD Pipelines, Git, and technologies such as Gitlab, Jenkins, Travis CI, etc.
  • Experience with Infrastructure-as-Code (IaC): AWS CloudFormation, Terraform, or Ansible.
  • Experience developing code in Java or Python; object-oriented design, and good coding standards.
  • Experience in designing cloud architectures including networking, microservices, user and permission management, etc.
  • Experience with container technologies, such as K8s, Docker, etc.
  • Knowledge of databases SQL, NoSQL, and distributed systems.
  • A good understanding of Data Science is a plus.
  • High level of customer orientation and excellent communication skills.
  • Willingness to travel.
  • Fluency in English and German would be beneficial.
  • Proactive mindset and constant willingness to learn.
  • You hold a Bachelor's and/or Master's degree in informatics, business informatics, mathematics, statistics, or equivalent field of study.
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