Senior Performance Engineer

AgileEngine, LLC; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% Remote

Flexible hours

Annual learning budget

Mentorship program

Global team collaboration

Job summary

AgileEngine, LLC in the United States is seeking a Senior Performance Engineer to lead an enterprise-wide performance engineering function across web, mobile, kiosk, POS, loyalty, and payments systems. You will design and execute load, stress, and endurance tests using JMeter, k6, or similar tools, and integrate validation into Azure DevOps pipelines.

You will collaborate with SRE and DevOps on chaos experiments, drive AI-assisted planning and triage, and define performance-readiness criteria

Qualifications

• 4+ years of experience in performance engineering or non-functional testing at enterprise scale.
• Hands-on experience with performance testing tools such as JMeter, k6, LoadRunner, NeoLoad, or OctoPerf.
• Experience with observability and cloud monitoring platforms (e.g., Dynatrace).
• Proven ability to integrate automated validation into CI/CD pipelines (Azure DevOps).
• Hands-on cloud engineering experience (AWS or Azure).
• Experience with AI-assisted engineering tools and validating AI outputs.
• Strong communication and stakeholder leadership with business impact translation.

Responsibilities

• Own the enterprise Performance Engineering charter as a shared service and establish SDLC performance-readiness standards.
• Design, script, execute, and report performance tests across high-volume flows (ordering, kiosk, POS, loyalty, payments).
• Identify and resolve bottlenecks across app, database, messaging, and infrastructure layers using observability signals (e.g., Dynatrace).
• Embed automated performance validation into CI/CD pipelines (Azure DevOps) with baseline and threshold gating.
• Partner with SRE/DevOps to define reliability targets and run chaos-engineering experiments.
• Define performance-readiness criteria and provide evidence-based go/no-go release recommendations.
• Integrate AI-assisted workflows into planning, test-design, and results triage with guardrails.

Skills

Performance engineering

Load testing

Stress testing

CI/CD collaboration

SRE collaboration

Stakeholder communication

AI-assisted tooling

Cloud platforms

Chaos engineering awareness

Test automation

Tools

JMeter

k6

Dynatrace

Azure DevOps

LoadRunner

NeoLoad

OctoPerf

AWS

Azure

Job description

We are looking for a Senior Performance Engineer to own and lead an enterprise-wide Performance Engineering function as a horizontal shared service across a global QSR digital ecosystem including web, mobile, kiosk, POS, loyalty, and payments systems. You will design and execute load, stress, and endurance tests using JMeter, k6, or similar tools, integrate automated performance validation into Azure DevOps CI/CD pipelines, partner with SRE and DevOps teams on chaos engineering experiments, and leverage AI-assisted workflows for performance planning and results triage.

What you will do

• Own the enterprise Performance Engineering charter as a horizontal shared service, establishing engagement models and SDLC performance-readiness standards.
• Design, script, execute, and report performance tests (load, stress, endurance, scalability) across high-volume ordering, kiosk, POS, loyalty, and payment flows.
• Identify and resolve bottlenecks across application, database, messaging, and infrastructure layers using observability signals (e.g., Dynatrace).
• Embed automated performance validation into CI/CD pipelines (e.g., Azure DevOps) with baseline and threshold gating.
• Partner with SRE/DevOps teams to define reliability targets and run controlled chaos-engineering experiments (fault/latency injection, dependency degradation).
• Define performance-readiness criteria, provide evidence-based go/no-go release recommendations, and assist with production performance-incident resolution.
• Integrate AI-assisted workflows into performance planning, test-design acceleration, and results triage while maintaining AI-consumable artifacts and safety guardrails.

Must haves

• 4+ years of experience in performance engineering or non-functional testing at enterprise scale.
• Hands-on expertise with performance testing tools (e.g., JMeter, k6, LoadRunner, NeoLoad, or OctoPerf).
• Experience with enterprise observability and cloud monitoring platforms (e.g., Dynatrace).
• Demonstrated experience integrating automated performance validation into CI/CD pipelines (e.g., Azure DevOps).
• Hands-on engineering experience in cloud environments (AWS or Azure).
• Hands-on experience using AI-assisted engineering tools, including reviewing and validating AI-generated output.
• Strong communication and stakeholder leadership skills with the ability to translate technical findings into clear business impact.

Nice to haves

• Direct experience partnering with SRE/DevOps practices on chaos engineering (fault/latency injection and dependency degradation testing).
• Prior experience supporting digital platforms within quick-service-restaurant (QSR), retail, or high-volume transactional ordering ecosystems.
• Experience maintaining AI-consumable artifacts (NFRs, workload models, baselines, thresholds) and defining AI guardrails.
• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• Well-being & support: access local well-being programs and people-focused support tailored to your location