devops engineer ( data analytics and monitoring team) | budapest

megjelenés dátuma
randstad hungary
állás típusa
határozatlan idejű

az állás részletei

megjelenés dátuma
IT / Telekom
állás típusa
határozatlan idejű
25880 / 26233
randstad hungary
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Cégleírás / Organisation/Department

As a partner of Aegon Global Technology we are looking for candidates for Int Devops Engineer role. In 2017 the company has established its most recent technology center in Budapest which since then is growing rapidly. Aegon Global Technology makes sure that all employees of Aegon are working with latest IT solutions and receive finest support. Being part of their team, gives you opportunity to not only work with most recent IT technologies, but also provides you the chance for dynamic and diverse career path.

In addition to the globally modern IT environment, Aegon Global Technology provides secure and long-term career, brand new office located in the heart of the city, flexible working hours with home office opportunities, followed by exceptional compensation.

Pozíció leírása / Job description

As a member of the Data Analytics and Monitoring Team, you will work on an team helping to deliver Business Value and Outcomes.  You will help to develop, test, and implement monitoring and analytic solutions as a shared function in support of driving business value to our customers.  You will have the opportunity to develop your technical knowledge and skills, all while working in an exciting and dynamic work environment.


  • Developing monitoring solutions in support of IT operations systems, infrastructure, and applications; Cloud and On-premises
  • Business and technical analysis and architectural review with customers.
  • Support and deliver using Continuous Integration/Continuous Delivery pipelines (GIT)
  • Enable systems with automated monitoring and alerting
  • Support the Team and Customers with day-to-day requests, Change and Incident tickets
  • Ensure automated security is built into each technology stack 

Elvárások / Requirements

Preferred Qualifications:

  • Experience analyzing IT Operations data from multiple monitoring platforms, using Elastic Stack (Elasticsearch, Logstash, Kibana), Open Source ELK, Splunk and Splunk ITSI, etc…
  • Experience with machine learning and pipeline deployments
  • Experience using log file analyzers and visualization tools such as Splunk, Elasticsearch, Logstash, and Kibana (ELK), both on premises and in the cloud 
  • Experience working with large data sets; SQL, Elastic, Oracle, and others databases.
  • Knowledge and experience in general development/coding skills
  • 2 or more years of experience in developing 

Additional Qualifications:

  • Experience utilizing cloud platforms (AWS and Azure)
  • Knowledge of scripting languages including Powershell, Go, Python, Perl is a plus.
  • Utilizing machine learning for anomaly detection is a plus.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets 

Amit kínálunk / Offer

-Home office

- Flexible working hours

- Health Insurance

- Yoga classes

- Life Fitness discount

- Training & Development opportunities

- Highly people-centric environment

Kapcsolattartó / Information

Zsanett Horváth

Diána Dalanics

All the recruitment processes continue smoothly via video interviews.