Vacancy expired!
- Participate in the design of build, refactor major software components that improve the availability, resiliency, performance of our system
- Design, code, test, and deliver software to automate manual operational work
- Troubleshoot incidents, participate in blameless post-incident evaluations and ensure permanent closure of incidents
- Design and implement the product improvements to prevent incident reoccurrence.
- Implement application patterns in support of better service level objectives.
- Participate and engage in SR/DR/HA exercises to validate resiliency assumptions and streamline them.
- Engage with development teams throughout the life cycle of incident, ensure lessons learned are translated into automated or process adjust responses to help develop software for reliability and scale, ensuring minimal refactoring or changes
- Code, test and deliver software to automate manual operational work
- Analyze and implement self-healing and resiliency patterns and contribute to software driven alerting and retry.
- Participate in the 24x7 coverage as needed
- Abinitio (ETL Tool) and Hadoop - Spark, Scala Knowledge of HIVE, Impala; UNIX Shell scripting
- Autosys/Control-M scheduling package. Familiarity with Control M and AutoSys job scheduler
- Troubleshoot production processing and execute problem resolution through post-issue evaluations, root-cause analysis and remediation.
- Oracle (v9i/10/11 )SQLPL/SQL Stored Procedures support/development
- Hands-on experience with cloud deployment, monitoring, and ops analysis tools such as Kubernetes, Prometheus, Elasticsearch, Grafana, Kibana, Splunk, DynaTrace is a big plus
- Knowledge of GIT, BitBucket, Jenkins, SONAR, SPLUNK, Maven, AIM and Continuous Delivery tools.
- Proficiency in one or more modern, relevant languages (e.g. Python, Java, Go).
Vacancy expired!