Platform Engineer with SCIGILITY

Remote (Switzerland)

CHF 115K - 130K a year

  • SCIGILITY in a Nutshell
    • A team of 20+ highly motivated engineers with diverse backgrounds
    • A motivated and friendly environment, everyone just a chat message away to collaborate anytime
    • High diversity and multiculturalism, equal opportunities
    • Monthly company all-hands meetings to foster a positive team culture

Responsibilities

  • Support, maintain and further develop a data analytics platform built on Cloudera, both in the cloud, on-premise and hybrid
  • Automate platform lifecycles according to IaC principles
  • Review, audit and troubleshoot existing solutions and system architectures
  • Participate in customer workshops and presentations of proposed solutions
  • Explore available technologies to provide business support to our clients
  • Get involved in Scigility internally, e.g.:
  • Provide input to help shaping our technology strategy
  • Do tech sessions to promote sharing internal knowledge
  • Participate in pre-sales activities
  • Be a mentor for new-joiners

Note that your exact responsibilities can vary between different projects. If that sounds exciting to you, you have come to the right place!

Requirements

Must:

  • Degree in computer science or equivalent
  • Eligibility to work in Switzerland
  • Experience with the Cloudera Data Platform Tools
  • Proactive team player attitude with the ability to work independently and accurately in interdisciplinary projects
  • Curiosity for new technologies and willingness to learn
  • Strong problem solving skills
  • Strong command of English (C1) and German (B2)
  • Hands-on experience in applying IaC and deployment automation using a Ansible, Terraform, or a similar technology
  • Hands-on experience with cloud environments (Azure, AWS, or GCP)
  • Hands-on experience with container technologies (Docker, Kubernetes)
  • Proficiency in Linux administration, networking & security setup and troubleshooting
  • Good knowledge of DevOps methodologies
  • Knowledge of Python or other programming language

Nice to have:

  • Hands-on experience with
    • Modern microservice architecture
    • Big Data or distributed technologies (Hadoop, etc.)
    • Kafka