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# Information Technology_USA - USA_Developer job in Jacksonville

- **Company:** Real Soft Inc.
- **Location:** Tampa, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Application Performance Management, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Database Queries, Noise Reduction, Github, Groovy, HP Loadrunner, Apache JMeter, Python (Programming Language), Load Testing, Machine Learning, NoSQL, NumPy, Performance Tuning, Queueing Systems, RabbitMQ, Reliability Engineering, Microsoft Copilot, SQL Databases, Systems Integration, Test Data, WebSocket, Datadog, Scripting, Load Balancing, Performance Testing, Autoscaling, Neoload, Large Language Models, Grafana, Prompt Engineering, Test Scripts, Gatling, SOAPAPI, Database Performance, Generative AI, Gitlab, Pandas, Scikit Learn, Information Technology, Apache Kafka, Claude, Azure AI, Google Gemini, Splunk, New Relic (SaaS), AIOps, Appdynamics, GPT, Dynatrace, Jenkins, Microservices
- **Published:** October 27, 2026
- **Apply:** https://jobs.diversity.com/career/2543362/information-technology_usa-usa_developer-florida-fl-jacksonville

## About the Role

auto-scaling, load balancing, and cloud-native performance considerations.&bull Scripting & Programming: Proficiency in Java, Python, Groovy, or JavaScript for scripting and automation.&bull Protocols & Architectures: Strong understanding of HTTP/HTTPS, REST/SOAP APIs, WebSockets, microservices, message queues (Kafka, RabbitMQ), and database performance (SQL/NoSQL).AI/ML & GenAI Skills (Required)&bull AI-Powered Observability: Hands-on experience with AIOps platforms and AI-driven APM features such as Datadog Watchdog/Bits AI, Dynatrace Davis AI, New Relic AI, or Azure AI Anomaly Detector.&bull Predictive Performance Analytics: Experience using ML models for capacity forecasting, performance trend analysis, and proactive bottleneck prediction.&bull Anomaly Detection & Root Cause Analysis (RCA): Ability to design or leverage AI/ML models for automated anomaly detection, intelligent alerting, noise reduction, and AI-assisted RCA.&bull Generative AI for Engineering Productivity: Practical
experience using GenAI tools (ChatGPT, Copilot, Claude, Gemini) for automated script generation, test data creation, log/trace summarization, and intelligent reporting.&bull Data & ML Foundations: Working knowledge of Python data libraries (Pandas, NumPy, Scikit-learn), time-series analysis, and basic ML concepts applied to performance datasets.&bull Intelligent Test Automation: Familiarity with AI-driven approaches for self-healing test scripts, smart workload modeling, and risk-based performance test selection.&bull Prompt Engineering: Ability to craft effective prompts to integrate LLMs into performance engineering workflows for analysis, recommendations, and automation.Preferred Qualifications&bull Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.&bull Industry certifications in performance engineering, cloud platforms (AWS/Azure), APM tools (Datadog, Dynatrace), or AI/ML certifications (Azure AI Engineer, AWS ML Specialty, Google ML
Engineer) is a plus .&bull Experience in regulated industries (Financial Services, Healthcare, Insurance) is a plus.&bull Knowledge of chaos engineering, resilience testing, and AI-driven SRE practices.&bull Experience building or integrating custom ML models or LLM-based agents to support performance engineering workflows.Role Descriptions: AI Performance Test ArchitectEssential Skills: AI Performance Test ArchitectDesirable Skills: Keyword: Skills: AI and AutomationExperience Required: 4-6

## Description

**Please strictly adhere to the following resume naming convention:ALL CAPS, NO SPACES B/T UNDERSCORESPTN_US_GBAMSREQID_CandidateBeelineIDi.e. PTN_US_9999999_SKIPJOHNSON0413MSP Owner: Tory RobinsonMax : /hrLocation: Tampa, FL - OnsiteDuration: 6 MonthsGBaMS ReqID: 10960284AI Performance Test ArchitectTechnical Skills&bull Load Testing Tools: Deep expertise in tools such as JMeter, LoadRunner, Gatling, k6, NeoLoad, or BlazeMeter.&bull APM & Observability: Strong hands-on experience with Datadog, Azure Application Insights, and exposure to Dynatrace, New Relic, AppDynamics, Splunk, Grafana, or Prometheus.&bull Bottleneck Analysis: Expert-level skills in performance bottleneck identification across CPU, memory, threads, GC, database queries, network latency, and microservices.&bull CI/CD Integration: Experience integrating performance testing into pipelines using Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.&bull Cloud Platforms: Working knowledge of AWS, Azure, or GCP - including