Job Description
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.
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.
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Core Responsibilities
• Peak Volume Modeling: Design and execute workload models based on retail metrics (Orders Per Hour, Lines Per Order) to simulate Black Friday/Cyber Monday traffic.
• Hybrid Infrastructure Testing: Validate system performance across physical on-prem hardware (F5 load balancers, SAN storage) 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.
$45/hr to $51/hr. - Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Must Have Requirements:
- 7-10 years of experience in an application performance engineering role
- Experience leveraging performance testing tools such as: Neoload, Apache JMeter, Gatling, BlazeMeter, LoadRunner / Performance
o Neoload and loadrunner leveraged in the environment
- Automation scripting experience with Java, Python, Groovy, Bash/Shell, OR JavaScript
- Experience leveraging APM & Distributed Tracing monitoring tools such as Dynatrace, AppDynamics, Datadog, New Relic
Nice to Have Skills & Experience
- Experience load testing cloud applications
- Log Analytics & Observability: BQ, 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
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.