DevOps Engineer (Customer Experience and Data)

DevOps Engineer
Remote
July 30, 2026
Full Time
Apply Now

Job Description

As a DevOps Engineer in Data Platform Unit, you will play a key role in shaping the reliability, scalability, and efficiency of the data platforms that enable technology and business teams across the bank to build data-driven solutions. You will combine software engineering, cloud infrastructure, automation, and observability expertise to build resilient systems and streamline operations for a modern data platform ecosystem leveraging Kubernetes, Kafka, Flink, Spark, Iceberg, AWS services, and observability tooling such as Grafana and Prometheus.

Working closely with cross-functional teams, you will champion DevOps best practices, enhance platform performance and reliability, and help foster a culture of operational excellence.

How You Will Make an Impact:

  • Develop software tools and automation solutions to improve operational efficiency, reliability, and developer experience across DevOps, ITOps, and engineering teams.
  • Design, build, and manage cloud-native infrastructure on AWS using Infrastructure as Code and automation best practices.
  • Implement and maintain monitoring, alerting, and observability capabilities using tools such as Grafana and Prometheus to ensure platform health, reliability, and performance.
  • Create and maintain dashboards, metrics, and alerts that provide actionable insights into platform operations and enable proactive issue detection.
  • Proactively identify areas for improvement within platform services, infrastructure, and operational processes, and implement enhancements.
  • Support incident response, troubleshooting, root cause analysis, and post-incident reviews to continuously improve platform stability and resilience.

What Makes You a Great Fit:

  • Proven experience in a DevOps, Platform Engineering, Site Reliability Engineering (SRE), or similar role, with a strong track record of managing cloud infrastructure and ensuring system reliability, scalability, and performance.
  • Strong experience with Amazon Web Services (AWS), including designing, building, and operating cloud-native infrastructure.
  • Experience with Infrastructure as Code tools such as Terraform and Terragrunt, as well as CI/CD platforms and GitOps practices using GitLab and Argo CD.
  • Hands-on experience with monitoring, observability, and alerting tools such as Grafana, Prometheus, CloudWatch, or similar solutions.
  • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes, including managing workloads in Amazon EKS.
  • Proficiency in one or more scripting or programming languages such as Python, Java, Bash, or PowerShell, with a focus on automation and operational tooling.
  • Experience managing application and infrastructure deployments across production and non-production environments using automated delivery pipelines, Helm charts, and GitOps approaches.
  • Experience supporting distributed data platforms and technologies such as Kafka, Flink, Spark, Iceberg, or similar large-scale data processing systems is considered a strong advantage.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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