What you will do
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S/he participates in weekly Product Support ticket reviews with internal stakeholders and Decision Management core team.
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Support Engineer frequently interacts with stakeholders, delivers support and technical information as needed.
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Should be able to troubleshoot by accessing/reviewing logs, file archives, production support applications like Elk, Logstash, Kibana, Splunk, App Dynamics etc.
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Participate in the development of code for J2EE software applications.
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Professionally respond to Product support tickets and requests on a timely manner.
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Follow agile best practices and maintain/improve the work of the agile team.
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Constantly keep up with the Development Agile Release activity.
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Documents research, stakeholder communication and issue resolution via Runbooks and assists in improving support efforts.
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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
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Bachelor's degree in computer science, information technology or equivalent with relevant 5+ years of industry experience
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OR Master’s degree in computer science, information technology or equivalent and 4-5 years of industry experience
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Minimum of 5+ years of technical experience working with SaaS applications, logs, configuration, coding and troubleshooting.
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Proven aptitude for learning and keeping up with latest Technology.
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Experience with any cloud platform e.g. GCP(preferred), AWS, Azure.
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Strong troubleshooting and debugging skills
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Comprehends and gains competency with multiple Decision Management Products/services
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Good understanding of Java coding fundamentals and open source technologies.
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Desire to keep application knowledge current
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Excellent verbal and written communication skills
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Strong team player works with stakeholders, internal teams, peers and management professionally.
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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
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Experience with data pipelines (ETL/ELT), Kafka, Big Data, Postgres, MySQL, NoSQL databases (e.g. Cassandra, Hadoop, MongoDB, Neo4J)
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Experience working in financial services, financial crimes or fraud detection is a plus.
Travailler chez Equifax
Nous croyons en une mentalité de croissance. Chez Equifax, cela comprend offrir à nos employés des occasions de donner le meilleur d’eux-mêmes et d’acquérir de nouvelles compétences en cours de route pour inspirer et bâtir des carrières épanouissantes.
