Join a dynamic and innovative team at Arla Foods as a Cloud Operations Engineer. As a senior specialist, youll be responsible for maintaining and supporting our cutting-edge Analytics Platform, working within a DevOps team to ensure operational stability and contribute to continuous improvement. If you have a passion for cloud computing, extensive experience with Microsoft Azure, and a desire to work for a forward-thinking company, this could be the role for you.

 

Senior Specialist - Cloud Operations Engineer
Miejsce pracy: Gdańsk
About the job:

We are currently seeking a Cloud Operations Engineer to join our IT team in Gdańsk. In this role, you will be responsible for the maintenance, support, and deployment of Arlas cloud-based analytics platform. You will work as a part of our DevOps team to ensure the smooth and reliable operation of our platform and will act as a mentor and technical guide for junior team members. Also constantly assessing the support offering and providing feedback to improve our ways of working.

 

How you will make an impact:
  • Ensure that all developments can be operationalized by communicating developmental needs early in the DevOps cycle
  • Gain, store, and retain knowledge that can be shared and understood by the wider team and future operational resources|
  • Act as the go-to person for colleagues across IT
  • Provide feedback and suggested improvements for ways of working
  • Act as a mentor and trainer for junior team members to support their technical development
  • Continuously learn and use that knowledge to keep pushing Arla forward
  • Be part of the DevOps team responsible for supporting Arlas Analytics Platform
  • Support analytics capabilities using Azure PaaS tools, SQL, and/or Python in a Spark-based Analytics Platform
  • Contribute to the operational stability of Arlas Analytics Platform architecture
  • Review product work, including detailed code, from platform contributors for approval to deploy; provide technical feedback as needed
  • Ensure that there is minimum interruption of services
  • Participate in building automation into DevOps pipelines
  • Innovate and develop new ways of monitoring and providing insights to our platform and solutions built on top
  • Step in as SRE chapter lead as required to ensure shared ways of working
What will make you successful:
  • Strong problem-solving and trouble-shooting
  • Experience in operational tasks
  • Ability to work well in a team environment, and to mentor and guide junior team members
  • Excellent communication skills in English, both written and spoken 
  • Ability to work in a fast-paced, constantly evolving environment
  • Forward thinking and creative personality
  • Adaptability and Collaboration are natural assets that you use every day
Furthermore, you have:
  • Bachelors degree in Computer Science or related field
  • At least 4 years of experience in a similar role, preferably working with cloud services in Microsoft Azure
  • Working knowledge of Azure Data Factory, Azure Data Lake, Databricks/Spark, and other related services is essential
  • Proficiency with Python, ARM, and SQL would be a major advantage
  • Experience with ServiceNow is also an advantage
What do we offer? 

At Arla, we value our IT specialists and provide a range of attractive benefits to support your personal and professional growth:
  • Training with industry experts and a comprehensive induction program
  • Financial support for ongoing education and professional development
  • Flexibility in working hours and the option to work from home
  • Medical care and life insurance coverage
  • Employee Assistance Program offering legal, psychological, health, and financial counseling
  • Additional perks like gym memberships, vouchers, travel points, and cinema tickets
  • Home kit including a monitor, laptop, keyboard, mouse, headsets, and webcam
  • Relaxation breaks to recharge and maintain work-life balance
  • Relocation allowance for a smooth transition to our vibrant city
  • Referral program for employees to earn rewards by recommending top talent
  • Additional holiday days based on length of employment (up to 4 days)
Prosimy o dopisanie klauzuli: Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych w procesie rekrutacji.
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