Platform Engineer/Performance Tester

Responsibilities for this Position Location: Any Location / Remote Full Part/Time: Full time Job Req: RQ212559 Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: BI Full 6C (T4) Job Family: Software Engineering Job Qualifications: Skills: CI/CD, Containerization, Performance Testing Certifications: None Experience: 5 + years of related experience US Citizenship Required: No Job Description: Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Platform Engineer/ Performance Tester will work as part of the CMM Enterprise Data Warehouse (EDW) team to deploy a secured cloud-native EDW platform and support the statutory and operational reporting, data cataloging, and other analytical objectives. RESPONSIBILITIES:

• Design, implement, and maintain automated performance testing frameworks integrated into CI/CD pipelines for cloud-native applications
• Define and track key performance KPIs (e.g., response time, throughput, resource utilization, latency, error rates) based on SLAs and stakeholder requirements
• Conduct load, stress, and scalability testing to validate performance under multi-tenant conditions and concurrent user loads
• Develop and manage a performance dashboard and provide executive-level and technical-level reporting on system behavior
• Perform real-time monitoring, observability, and telemetry setup for application and infrastructure performance using modern tools and dashboards.
• Collaborate with developers, QA, SREs, and operations teams to identify performance bottlenecks and provide optimization recommendations
• Validate the performance of critical workflows and use cases, including long-running queries, search operations, and API endpoints
• Capture and report on system metrics such as CPU, memory, disk, network, and application-specific logs for tuning and diagnostics
• Support canary release functions to allow end-user beta testing in production-like environments
• Contribute to the performance section of the Monthly Status Report (MSR) and sprint-level performance documentation
• Ensure alignment of performance testing strategy with DevSecOps and MLOps processes for continuous integration and delivery
• Developing and executing formal performance test plans to ensure the delivery of quality software applications
• Writing and maintaining comprehensive test plans and reports
• Verifying and validating functionality by evaluating software against system requirements
• Identifying and documenting defects using reproducible test cases
• Work independently to triage issues and prioritize tasks
• Responsible for supporting cloud solution resources, both IaaS and PaaS, that enable the business to securely run sensitive workloads within a cloud
• Implementing and designing server, network, and software configurations for a cloud computing infrastructure and applications with a focus on DevOps principles REQUIRED EXPERIENCE & QUALIFICATIONS:
• Technical Training, Certification(s) or Degree and 1+ years' experience with deploying and managing applications and systems to commercial and private clouds, or equivalent years of experience
• Experience in performance engineering and automated testing of cloud-based applications and platforms
• Strong knowledge of performance testing tools such as JMeter, Gatling, LoadRunner, BlazeMeter, or k6
• Hands-on experience with CI/CD pipelines using tools such as Jenkins, GitLab CI, Azure DevOps, or GitHub Actions
• Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, New Relic, CloudWatch, or Elastic Stack
• Proficiency in scripting languages such as Python, Bash, or JavaScript for automation of testing and reporting workflows
• Familiarity with containerized environments (Docker, Kubernetes) and microservices testing strategies
• Strong understanding of cloud infrastructure performance characteristics, especially AWS
• Experience with telemetry frameworks and logging standards to support traceability and root cause analysis
• Demonstrated ability to analyze large volumes of test data, identify trends, and drive root cause identification and tuning
• Experience working in Agile/Scrum teams and participating in sprint ceremonies
• Experienced in providing DevSecOps implementation using GitOps, or similar tools
• Experienced in developing, testing, and maintaining containerized applications utilizing docker, k8s, OpenShift, etc.
• Working knowledge of Source Version Control and Build/Release tools and methodologies
• Demonstrated experience in optimizing computing performanc

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