Cloud Operations Engineer
3 tygodni temu
We are seeking a highly skilled Cloud Operations Engineer to join our IT team in Gdańsk. As a key member of our DevOps team, you will be responsible for the maintenance, support, and deployment of Arla's cloud-based analytics platform.
Key Responsibilities:- Ensure seamless operationalization of developments by communicating needs early in the DevOps cycle
- Gain, store, and retain knowledge to be shared with 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 knowledge to keep pushing Arla forward
- Be part of the DevOps team responsible for supporting Arla's 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 Arla's Analytics Platform architecture
- Review product work, including detailed code, from platform contributors for approval to deploy; provide technical feedback as needed
- Ensure 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
- Strong problem-solving and trouble-shooting skills
- 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
- Bachelor's 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
- 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)
- Sharing the costs of sports activities
- Private medical care
- Sharing the costs of foreign language classes
- Sharing the costs of professional training & courses
- Life insurance
- Remote work opportunities
- Fruits
- Integration events
- Dental care
- Corporate sports team
- No dress code
- Video games at work
- Coffee / tea
- Drinks
- Leisure zone
- Sharing the costs of tickets to the movies, theater
- Redeployment package
- Christmas gifts
- Extra leave
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