Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.Responsibilities:Designing, building, and deploying solutions that increase product reliability and organizational efficiencyMotivating and guiding the creation of effective CI/CD pipelinesProviding mentorship and insight into DevSecOps best-practicesWorking with product teams to expose their requirements and support the aboveImproving reliability via root cause analyses, post-mortems, and using code to prevent recurrenceImplementing effective monitoring and security scanningAssisting support teams in resolving issuesDemonstrating and evangelizing state of the art technologies and practices that can be used to build and improve better workflowsDiscovering and implementing automation to reduce manual support requirementsProviding emergency after-hours support if neededQualificationsDegree or diploma in Computer Sciences or related fields, or equivalent work experience8-10 years of experience as a software engineer and writing Infrastructure-and Configuration-as-CodeExcellent English written and verbal communication skillsHighly proficient in AWS design and architectureProfessional level AWS Certification a significant assetHighly experienced with Terraform and or AWS CloudFormationExperience with Infrastructure- and Configuration-as-CodeExperience with CI/CD pipeline systems such as Jenkins and GitLabExperience with Git in a multi-team environmentSome experience with containers and containers-as-a-service systems, such as EKSExperience with log aggregation systems such as Splunk, Datadog, or Sumo LogicExperience with APM solutions and infrastructure monitoring solutions an assetDesire to push themselves and learn new things#J-18808-Ljbffr