Lead Performance Engineer 10+ Years Profile

Remote • Posted 16 hours ago • Updated 16 hours ago
Contract W2
Contract Independent
No Travel Required
Remote
$50 - $60/hr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Artificial Intelligence
  • Amazon Web Services
  • Apache JMeter
  • Business Process Management
  • Continuous Delivery
  • Concurrent Computing
  • Cloud Computing
  • Computer Science
  • Microsoft SQL Server
  • Machine Learning (ML)
  • Microsoft Azure
  • HP LoadRunner
  • Log Analysis
  • Mortgage
  • Good Clinical Practice
  • Google Cloud Platform
  • Analytical Skill
  • Continuous Integration
  • Performance Testing
  • Predictive Analytics
  • Optimization
  • Process Management
  • Performance Engineering
  • PostgreSQL
  • Database
  • MongoDB
  • Software Performance Management
  • NoSQL
  • Process Modeling
  • JIRA
  • Scalability
  • Supervision
  • Workflow

Summary

Title- Lead Performance Engineer 10+ Years Profile

Location- Remote on EST

Duration-6+ month contract

Interview- video

Summary
The Senior Performance Engineer is a technical leader responsible for ensuring that large-scale, mission-critical applications—particularly mortgage processing, document automation, BPM workflows, and rules engines—meet stringent performance, scalability, and resiliency goals.

This role requires deep expertise in performance engineering, distributed systems, cloud-native architectures, and AI-driven analysis.

Additional Responsibilities

  • Identify, document, and track performance defects through JIRA.
  • Stay current with evolving performance tools, cloud technologies, and AI/ML trends.
  • Maintain regular and punctual attendance and perform related duties as assigned.

Supervisory Responsibilities

Qualifications

  • Expert-level understanding of performance engineering principles, distributed systems, concurrency models, and cloud-native architectures.
  • Strong analytical and diagnostic skills with the ability to interpret complex performance data.
  • Proven ability to influence architecture and design decisions based on performance insights.
  • Experience with AI/ML-based observability, anomaly detection, or predictive analytics is highly desirable.
  • Knowledge of mortgage industry workflows, document automation, and rules engines is a plus.

 

Education and/or Experience

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 10-18 years of progressive experience in performance engineering and large-scale system optimization.
  • Hands-on expertise with performance testing tools (LoadRunner, JMeter, Gatling, Locust, K6, etc.).
  • Strong experience with cloud environments (AWS, Azure, or Google Cloud Platform).
  • Solid understanding of databases (MongoDB, PostgreSQL, SQL Server, or NoSQL stores) from a performance standpoint.
  • Experience with APM/observability platforms and log analysis tools.
  • Experience integrating performance testing into CI/CD ecosystems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91093714
  • Position Id: 8928325
  • Posted 16 hours ago
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