Senior DevOps Engineer (m/f/d) - Industrial Data Science and Software

Job description


MANAGING INDUSTRIAL DATA ENVIRONMENTS

 

At Smart Steel Technologies, we are building a one-of-a-kind cross-disciplinary team, uniting the worlds of steel and machine learning. Our team has come together from a diverse set of academic and professional backgrounds: software development, computer science, mathematics, physics, and metallurgy. Our goal is to leverage this expertise through trust and cooperation. We want to foster an environment where team members have frequent opportunities to learn from each other in fields that they are not (yet) experts.

 

The machine learning and data science we employ comes in several varieties: image processing, signal processing, classical supervised modeling, unsupervised methods, and fundamental statistics and probability.

 

We are grateful to stand on the shoulders of the open source giants. We use NumPy-flavored Python3 as the basis for our development, taking advantage of the availability of libraries designed for both software engineering and data science, ranging from Flask to SciPy, SQLAlchemy to Keras, Jupyter to Pandas, and many more. When Python’s time or space complexity becomes a constraint, we turn to modern C++. When we require client-side browser-based interactivity, we turn to JavaScript.

 

ABOUT THE JOB

  • Help to deploy and maintain new technology solutions for our infrastructure

  • Create new automation and monitoring frameworks

  • Work on continuous integration of our solutions

  • Provide support for existing applications and procedures

Job requirements

QUALIFICATIONS THAT CATCH OUR EYE

    • At least 5 years of relevant practical working experience

    • Academic degree or vocational training in Computer Science, Information Technology or similar
    • Good knowledge of Linux (e.g. RedHat/CentOS, Ubuntu) in server environments

    • Good knowledge of Shell, other scripting languages is a plus (especially Python)

    • Good knowledge of automation tools (e.g., Kubernetes, Ansible)

    • Good knowledge of clouds (e.g., Microsoft Azure, AWS)
    • Experience with CI and CD

    • Experience with Docker

    • Familiarity with databases

    • Knowledge of data storage and processing technologies

    • Hands-on experience with systems and IT operations

    • Familiarity with scientific / research environments

    • Experience with high performance computing setups

    • Fluent English is a must, German is a plus


    BENEFITS

      • Transparency of business strategies
      • Autonomy balanced by responsibility
      • Cohesive, multidisciplinary team
      • Meaningful industrial problems
      • Modern machine learning techniques
      • Sleek, new office located in Berlin-Adlershof
      • Professional educational opportunities
      • German language courses and public transport included
      • Free drinks and fruits