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Medium — senior metro role with specialized streaming skills balances applicant density.
Medium — Flink, Iceberg, Java and AWS skills are transferable, but insurance domain knowledge mildly constrains fit.
High — explicit 10+ years plus mandatory Flink, Iceberg, Java, AWS, Terraform, and observability experience.
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Design, implement, and deploy distributed streaming and batch applications using Java and Apache Flink within a large-scale AWS Cloud environment.
Build and maintain CI/CD pipelines with AWS CodePipeline and implement Infrastructure as Code using Terraform or AWS CloudFormation.
Define and execute strategies for application monitoring, resiliency, chaos engineering, including fault-injection experiments and observability dashboards for service-level objectives (SLOs).
10+ years of hands-on application software development experience.
Expertise in Java 21, Apache Flink, Apache Iceberg, and Spring Framework (Spring Boot 3, Spring Data/JDBC, Spring Batch, Spring Cloud).
Experience with Docker, AWS services (Security/IAM, Kinesis, Lambda, RDS), and building CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy.
Proficiency in Infrastructure as Code using Terraform and/or AWS CloudFormation and experience with observability tools such as Splunk and Dynatrace.
Senior engineer with strong background in designing complex, large-scale, fault-tolerant streaming data systems using Java and Apache Flink in AWS environments.
Experienced in integrating advanced monitoring, resiliency, and chaos engineering practices including fault injection and defining SLOs.
Familiarity with modern AI engineering practices embedded in the software development lifecycle for innovation in Employee Benefits Data Integration domain.