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Site Reliability Engineer Career

  • S/he participates in weekly Product Support ticket reviews with internal stakeholders and Decision Management core team.

  • Support Engineer frequently interacts with stakeholders, delivers support and technical information as needed.

  • Should be able to troubleshoot by accessing/reviewing logs, file archives, production support applications like Elk, Logstash, Kibana, Splunk, App Dynamics etc.

  • Participate in the development of code for J2EE software applications.

  • Professionally respond to Product support tickets and requests on a timely manner.

  • Follow agile best practices and maintain/improve the work of the agile team.

  • Constantly keep up with the Development Agile Release activity.

  • Documents research, stakeholder communication and issue resolution via Runbooks and assists in improving support efforts.

  • Coordinate with Development, Product Owners, Configuration Management and QA to follow through ticket resolution, testing, deployment of fixes into higher environments.

What experience you need

  • Bachelor's degree in computer science, information technology or equivalent with relevant 5+ years of industry experience

  • OR Master’s degree in computer science, information technology or equivalent and 4-5 years of industry experience

  • Minimum of 5+ years of technical experience working with SaaS applications, logs, configuration, coding and troubleshooting.

  • Proven aptitude for learning and keeping up with latest Technology.

  • Experience with any cloud platform e.g. GCP(preferred), AWS, Azure.

  • Strong troubleshooting and debugging skills

  • Comprehends and gains competency with multiple Decision Management Products/services

  • Good understanding of Java coding fundamentals and open source technologies.

  • Desire to keep application knowledge current

  • Excellent verbal and written communication skills

  • Strong team player works with stakeholders, internal teams, peers and management professionally.

  • Experience using tools such as Elk stack especially ElasticSearch, Logstash, Kibana, Splunk etc.; Java, J2EE, REST, XML, SQL, JDBC, JSF, Angular, Web services, JUnit; JIRA, Service Desk; Eclipse, Jenkins, Go-CD, Maven; Git/stash; Tomcat, Spring; Cloud technology / AWS

  • Experience with data pipelines (ETL/ELT), Kafka, Big Data, Postgres, MySQL, NoSQL databases (e.g. Cassandra, Hadoop, MongoDB, Neo4J)

  • Experience working in financial services, financial crimes or fraud detection is a plus.

Travailler chez Equifax 

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