Platform Engineer/Performance Tester
Listed on 2026-02-07
-
IT/Tech
Cloud Computing, Systems Engineer
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
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 Dev Sec Ops 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 Dev Ops principles
- 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, Load Runner, Blaze Meter, or k6
- Hands-on experience with CI/CD pipelines using tools such as Jenkins, Git Lab CI, Azure Dev Ops, or Git Hub Actions
- Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, New Relic, Cloud Watch, or Elastic Stack
- Proficiency in scripting languages such as Python, Bash, or Java Script for automation of testing and reporting workflows
- Familiarity with containerized environments (Docker, Kubernetes) and microservices testing strategies
- Strong…
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