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HealthEdge

Software Engineer - Performance and Tools

Posted Yesterday
Remote
Hiring Remotely in US
123K-132K Annually
Mid level
Remote
Hiring Remotely in US
123K-132K Annually
Mid level
Develop and maintain synthetic data generation tools, performance scripts, and testing frameworks. Investigate application, infrastructure, and database bottlenecks; conduct load, stress, endurance, scalability, and other performance tests; integrate testing into CI/CD pipelines; and use observability and AI/ML techniques to analyze and improve enterprise and cloud-native application reliability and performance.
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Overview

We can only consider US Citizens or Green Card holders for this position at this time.



Overview:

HealthEdge® offers AI-powered operational infrastructure for health insurance companies, guaranteeing an enduring financial edge in an increasingly competitive market. We're experiencing strong market momentum, with a growing number of health plans choosing HealthEdge to modernize their operations and compete more effectively. As we expand, we're investing in the people who power that growth, making this a pivotal moment to join us and shape the future of healthcare technology. Learn more at HealthEdge.com.


We are seeking a passionate problem solver to work as a Software Engineer in Performance and Tools team to: 

  • Enhance and maintain in-house synthetic data generation tools 
  • Investigate performance issues in enterprise applications 
  • Develop, maintain and optimize performance scripts and test framework 
  • Validate and improve the scalability, reliability of enterprise applications and cloud-native systems. 

Key Responsibilities 

  • Support quality and development teams with the test data generation requirements. 
  • Learn in-house test data generation tool and enhance its capabilities. 
  • Develop solutions with an AI-centric approach. 
  • Design, develop, and execute performance test scenarios. 
  • Troubleshooting performance issues by analyzing application, infrastructure, and database bottlenecks. 
  • Integrate performance testing into CI/CD pipelines. 
  • Collaborate with Development, QA, DevOps, and SRE teams to resolve performance issues. 
  • Integrate AI/ML techniques into performance testing. 
  • Integrate observability tools in performance analysis and related processes 
  • Perform Load, Stress, Spike, Endurance (Soak), Volume, and Scalability testing. 
  • Create performance reports, reporting frameworks and provide optimization recommendations. 

Required Skills  

Programming & Databases  

  • Previous working experience with Python for backend for application development.  

  • Basic experience with JavaScript for frontend web-development.  

  • Previous  working experience with SQL and DB design principles and other database technologies.  

  • Previous working experience with writing and optimizing SQL queries and analyze database performance.  

  • Previous working experience working with AI tools like Claude, Copilot, and produce quality solutions.  

  

Performance Testing  

  • Previous working experience with Performance Engineering concepts.  

  • Hands-on experience with one or more of the following tools such as JMeter, LoadRunner, Gatling, k6, Locust, NeoLoad, or BlazeMeter.  

 

Observability & Monitoring  

  • Experience with one or more of the following application monitoring tools such as Datadog, AppDynamics, Dynatrace, New Relic, Grafana, OpenTelemetry, AWS CloudWatch, and Google Cloud Monitoring.  

  • Previous working experience with the following -  analyze logs, metrics, traces, dashboards, and alerts for root cause analysis.  

 

Qualifications  

  • Bachelor's degree in Computer Science, Engineering, or related field.  

  • 3 - 8 years of experience in Software Development and Performance Testing/Performance Engineering.  

  • Experience working in Agile/Scrum environments.  


Preferred Skills 

Good knowledge of Java to troubleshoot performance issues. 

Postgres SQL 

Knowledge of Ruby/Rails  


Cloud & DevOps  

Good knowledge of AWS and GCP.  

Good understanding of Git repositories and GitLab Pipelines.  

Experience working with CI/CD environments.  

Knowledge of APIs, Microservices, Docker, and Kubernetes.  

Strong analytical, troubleshooting, and communication skills.  



Geographic Responsibility:  Remote, US

Type of Employment: Full-time, permanent 

FLSA Classification (USA Only): Exempt 

Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:  

  • The employee is occasionally required to move around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.  
  • Work across multiple time zones in a hybrid or remote work environment. 
  • Long periods of time sitting and/or standing in front of a computer using video technology. 
  • May require travel dependent on company needs. 

The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990.  Candidates may be required to go through a pre-employment criminal background check. 


HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities. 

#LI-Remote 

**The annual US base salary range for this position is $123,000 to $132,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications and education.  

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