DevOps Engineer (Customer Experience and Data)
Core
Build resilient data platforms enabling technology and business teams to create data-driven solutions through software engineering, cloud infrastructure, automation, and observability.
Role type
Senior DevOps Engineer (Data Platform)
Builds
Cloud-native data platform infrastructure on AWS leveraging Kubernetes, Kafka, Flink, Spark, Iceberg, and observability tooling.
Domain
Financial Services / Cloud Infrastructure / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
AWS cloud-native infrastructure, Infrastructure as Code (Terraform, Terragrunt), CI/CD and GitOps (GitLab, Argo CD), container orchestration (Kubernetes, Docker), observability (Grafana, Prometheus), scripting/programming (Python, Java, Bash, PowerShell), distributed data platforms (Kafka, Flink, Spark, Iceberg)
Preferred skills
Experience with large-scale data processing systems
Technologies
AWS, Kubernetes, Kafka, Flink, Spark, Iceberg, Terraform, Terragrunt, GitLab, Argo CD, Grafana, Prometheus, Docker, Helm
Responsibilities
Develop software tools and automation solutions to improve operational efficiency; Design, build, and manage cloud-native infrastructure on AWS using Infrastructure as Code; Implement and maintain monitoring, alerting, and observability capabilities; Create and maintain dashboards, metrics, and alerts for platform operations; Proactively identify areas for improvement within platform services and operational processes; Support incident response, troubleshooting, root cause analysis, and post-incident reviews.
Seniority
Senior, hands-on IC