Senior Performance Test Engineer

RESPONSIBILITIES:
Kforce has a client that is seeking a remote Senior Performance Test Engineer to join their team.

Overview:
As our infrastructure evolves, the engineer must demonstrate a progressive, adaptive mindset to actively bridge traditional on-premises data centers with modern containerized cloud environments. Advanced expertise in safeguarding high-volume architectures-specifically IBM Sterling OMS-is highly desirable to proactively prevent production incidents, maximize continuous availability, and guarantee zero-downtime retail operations. Additionally, candidates must be future-ready: either already possessing AI-driven engineering skills (such as AI-assisted code profiling or predictive anomaly detection) or demonstrating a strong willingness and agility to learn on-the-run through our upcoming enterprise AI training programs.

Core Responsibilities:
* Peak Volume Modeling: Design and execute workload models based on retail metrics
* Hybrid Infrastructure Testing: Validate system performance across physical on-prem hardware and containerized cloud platforms
* Resiliency Engineering: Identify and resolve database deadlocks, row-locking, and thread contention to ensure absolute zero-downtime
* Bottleneck Diagnosis & AI Observability: Leverage traditional APM tools, log aggregators, and emerging AI-powered predictive analytics tools to isolate code, database, and network-level performance degradation
* Continuous Learning: Actively participate in internal AI up-skilling initiatives to integrate generative AI and machine learning into performance testing automation

REQUIREMENTS:
* Seeking a senior-level Performance Engineer with 7 to 10 years of dedicated experience designing, executing, and optimizing performance testing strategies across complex enterprise IT systems
* The ideal candidate brings a proven track record of managing peak-volume and holiday-season load testing to guarantee system consistency, resilience, and architectural stability under extreme traffic

Required Technical Skills & Tooling:
* Programming & Scripting: Java, Python, Groovy, Bash/Shell, JavaScript
* Load Generation Tools: Neoload, Apache JMeter, Gatling, BlazeMeter, LoadRunner/Performance Center
* APM & Distributed Tracing: Dynatrace, AppDynamics, Datadog, New Relic
* Log Analytics & Observability: BigQuery, Splunk, ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana
* Databases & Messaging: Oracle DB, DB2, PostgreSQL, IBM MQ, Apache Kafka, RabbitMQ
* Cloud & CI/CD Pipelines: Red Hat OpenShift, Kubernetes, Docker, Jenkins, GitLab CI, Ansible, Terraform

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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