Platform Engineer/ Performance Tester

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:

Cloud

Job Qualifications:

Skills:

Agile Methodology, Performance Testing, Teamwork

Certifications:

None

Experience:

1 + years of related experience

US Citizenship Required:

No

Job Description:

Own the opportunity as a Platform Engineer/ Performance Tester and help ensure the mission is never interrupted. At GDIT, we deliver clarity with our cloud solutions and provide meaningful work. Your work will be an important part of transforming our clients for the modern age and help them face any obstacle.

The Case Management Modernization (CMM) Program is an initiative to support the Administrative Office of the US Courts (AO) develop a modern cloud-based solution to support all 204+ federal courts across the United States which are grouped into three types namely, Appellate, District, and Bankruptcy. The Platform Engineer/ Performance Tester will work as part of an agile development team to build and support the modernization of enterprise-class software applications.

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
• 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
• 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:

• Bachelor’s Degree in Computer Science, Information Systems, Engineering or other related scientific or technical discipline
• 1 - 3+ years experience with deploying and managing applications and systems to commercial and private clouds required; 5+ years experience strongly preferred
• 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, Azure, or GCP
• Experience with telemetry frameworks and logging standards to suppor