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Performance Testing Architect Jobs in Colorado (NOW HIRING)

VDURA

Software Engineer - Entry Level

Longmont, CO

The successful candidate will work alongside experienced architects and senior engineers while ... Support system validation, performance testing, and reliability improvements. * Performance and ...

Deloitte

MES Solution Architect Manager (AVEVA)

Denver, CO · On-site

$64.75 - $85.50/hr

... integration testing, user acceptance testing, solution delivery, customer support, process ... manufacturing performance and identify improvement opportunities; experience leading 2+ MES ...

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VDURA

Software Engineer - Entry Level

Niwot, CO

The successful candidate will work alongside experienced architects and senior engineers while ... Support system validation, performance testing, and reliability improvements. * Performance and ...

VDURA

Software Engineer - Entry Level

Niwot, CO · On-site

The successful candidate will work alongside experienced architects and senior engineers while ... Support system validation, performance testing, and reliability improvements. * Performance and ...

Deloitte

MES Solution Architect Manager

Denver, CO · On-site

$64.75 - $85.50/hr

... mapping, testing, deployment, and post-go-live support • Advising senior leaders on MES ... performance and quantify improvement opportunities • Experience leading 2+ MES implementations ...

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Performance Testing Architect information

What are the key skills and qualifications needed to thrive as a Performance Testing Architect, and why are they important?

To thrive as a Performance Testing Architect, you need expertise in performance engineering, test strategy design, and a solid understanding of software architecture, usually supported by a degree in computer science or a related field. Mastery of tools like LoadRunner, JMeter, and APM solutions, along with relevant certifications such as CPPT or ISTQB, is typically required. Strong analytical thinking, problem-solving, and communication skills help in effectively collaborating with development teams and stakeholders. These competencies are crucial for identifying bottlenecks, ensuring scalable systems, and delivering optimal application performance.

What are some common challenges Performance Testing Architects face when designing scalable test frameworks?

Performance Testing Architects often encounter challenges such as integrating testing tools with complex application architectures, ensuring test environments accurately mirror production, and maintaining test scripts as systems evolve. Additionally, they must balance the need for comprehensive coverage with resource constraints, and address bottlenecks in both application code and infrastructure. Effective collaboration with development, operations, and business teams is essential to quickly identify root causes and drive resolution of performance issues.

What are Performance Testing Architects?

Performance Testing Architects are specialized IT professionals responsible for designing, implementing, and overseeing the strategies and frameworks used to test the performance, scalability, and reliability of software applications. They analyze system requirements, identify performance bottlenecks, and recommend solutions to ensure applications meet required performance standards. Performance Testing Architects also collaborate with development and QA teams to integrate performance testing into the software development lifecycle, select appropriate tools, and establish best practices. Their role is critical in preventing performance issues in production environments and ensuring a positive user experience.

What is the difference between Performance Testing Architect vs Performance Test Engineer?

AspectPerformance Testing ArchitectPerformance Test Engineer
CredentialsTypically requires advanced certifications like ISTQB, performance testing certifications, and extensive experienceOften holds certifications like ISTQB Foundation, with less emphasis on advanced credentials
Work EnvironmentDesigns testing strategies, oversees testing processes, collaborates with architects and managementExecutes tests, analyzes results, and reports performance issues
Industry UsageUsed in organizations with complex systems requiring strategic performance planningCommon in teams performing routine performance testing tasks

The Performance Testing Architect focuses on designing and overseeing performance testing strategies, while the Performance Test Engineer executes tests and analyzes results. Both roles are essential but differ in scope and seniority within the testing process.

What are popular job titles related to Performance Testing Architect jobs in Colorado? For Performance Testing Architect jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Performance Testing Architect jobs in Colorado look for? The top searched job categories for Performance Testing Architect jobs in Colorado are:
What cities in Colorado are hiring for Performance Testing Architect jobs? Cities in Colorado with the most Performance Testing Architect job openings:
Performance Testing Architect jobs near you

Software Engineer - Entry Level

VDURA

Longmont, CO

Full-time

Posted 5 days ago

Job description

Position Overview:
VDURA is a leader in high-performance parallel file systems and distributed storage solutions for AI and HPC environments. We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform.
 
This role is ideal for a recent graduate or early-career engineer who is passionate about systems software, distributed computing, AI infrastructure, and large-scale storage technologies. The successful candidate will work alongside experienced architects and senior engineers while contributing to real-world enterprise storage solutions used in demanding AI and HPC deployments.
 
The Software Engineer will gain hands-on experience with distributed systems development, performance optimization, automated testing, cloud technologies, and modern AI-assisted software development practices.
 
Key Responsibilities:
Software Development
  • Develop, test, debug, and maintain software components within the VDURA Data Platform.
  • Contribute to distributed storage services, management tools, datapath functionality, and automation infrastructure.
  • Write clean, maintainable, and well-tested code primarily in C, C++, Python, or related technologies.
  • Engineering Collaboration
  • Work closely with senior engineers, architects, QA, DevOps, and support teams on feature development and issue resolution.
  • Participate in code reviews, technical discussions, and team planning activities.
  • Learn and apply best practices for scalable software development and systems engineering.
  • Testing and Debugging
  • Assist with debugging complex software issues across distributed systems environments.
  • Contribute to automated test frameworks and continuous integration workflows.
  • Support system validation, performance testing, and reliability improvements.
  • Performance and Scalability
  • Help analyze system performance and identify opportunities for optimization.
  • Learn about modern storage and networking technologies including NVMe, RDMA, InfiniBand, and parallel file systems.
  • Participate in lab testing and large-scale system validation activities.
  • Innovation and Learning
  • Utilize AI-based software development tools to improve productivity, learning, debugging, and software quality.
  • Stay current with emerging technologies in AI infrastructure, cloud-native systems, distributed storage, and software engineering.
  • Continuously expand technical knowledge through mentorship and hands-on development experience.
 
Qualifications:
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
  • Strong programming skills in C, C++, Python, Java, or similar languages.
  • Understanding of operating systems, data structures, algorithms, and networking fundamentals.
  • Familiarity with Linux or UNIX-based development environments.
  • Strong analytical and problem-solving skills.
  • Experience with Git or other version control systems.
  • Interest in distributed systems, storage software, cloud computing, AI infrastructure, or systems-level programming.
  • Experience using AI-based software development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar technologies is desirable.
  • Strong communication skills and willingness to work collaboratively within a team environment.
 
Preferred Experience:
  • Internship, academic project, or open-source experience related to systems software or distributed systems.
  • Exposure to Linux system administration or scripting.
  • Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.
  • Experience with automated testing or CI/CD workflows.
  • Interest in HPC, AI infrastructure, or large-scale storage systems.
 
Location:
This role is based in: Niwot, CO
This is primarily an on-site role to support close collaboration with engineering teams and access to VDURA lab environments.
 
About VDURA:
VDURA is transforming data storage and management for the AI era. Our software-defined storage platform delivers the performance, scalability, durability, and simplicity required for the world’s most demanding AI and HPC environments. Our engineering teams work on cutting-edge distributed systems challenges spanning parallel file systems, AI infrastructure, cloud technologies, and next-generation storage architectures.