(Senior) Cloud Engineer (m/f/d)
Katowice, Śląskie, Poland
Machine Learning Reply
Machine Learning Reply ist das Unternehmen der Reply Gruppe, das auf maßgeschneiderte End-to-End-Lösungen im Data-Science-Bereich spezialisiert ...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 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 a vast expertise in every step of the Data Science implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to 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-fledeged 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 on topics of running a consulting business: HR, Sales, Marketing, Project Staffing.
- Buddy Program: You will get a Buddy to help you get started.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible Architecture AWS Azure CI/CD CloudFormation Consulting Data pipelines DevOps Distributed Systems Docker GCP Git GitLab Java Jenkins Kubernetes Machine Learning Mathematics Microservices MLOps NoSQL Open Source Pipelines Python SQL Statistics Terraform
Perks/benefits: Career development Conferences Team events
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