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Saxon Global

Dallas / Global

Senior Java Developer

Job Description

Senior Java DeveloperPosition: Senior Java DeveloperNumber of positions: 2Locations: Dallas, TXOnsite: 3 days a week (could be less)Interview process: Screening then 2 video interviews to hireContract: 24 month to permMust have: Java, Spring, GraphQL, CI/CD, and Cloud experienceProject:These teams develop and manage 500+ data APIs used by 30+ consumers across US Bank (any US bank site, transactions, marketing, money movement, customer profiles)The past few years have been focused on modernizing existing APIs to prepare them for migration to Azure which is what the incoming resources will focus onAll APIs are built in Java with GraphQL, Spring Boot, Cassandra and deployed in Kubernetes cluster, CI/CD Jenkins pipeline for deploymentThese resources should come from a development background, but will be focused on deployment, containerization, and orchestrationResponsibilities:Build and maintain GitHub Actions workflows for continuous integration and deployment.Design and maintain Docker images and Kubernetes clusters, use Helm charts for application packaging and deployment, troubleshoot and optimize Kubernetes workloads.Develop automation scripts in Python for workflows, monitoring, and infrastructure tasks.Configure and maintain observability tools. Set up dashboards, alerts, and log aggregation for proactive monitoring.Implement security best practices in CI/CD pipelines and Kubernetes clusters.Participate in requirements gathering, design discussions, code reviews, etc.May need to lead offshore developersMust Haves:Senior Java developer Should come from a Java development background, not an infrastructure backgroundAt least 1 of the 2 resources needs to have strong Python experience in addition to Java – ability to write Python scripts for workflow automation, automated deployments, etc.Experience with GitHub Actions, GitHub CI, GitOpsContainerization & orchestration using Kubernetes, Helm ChartsExperience configuring monitoring & observability – DataDog preferred, Splunk would also be considered

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