Senior Performance Engineer ID84179

Job Description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
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
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 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).
- Scripting and automation proficiency in Java, JavaScript, or Python.
- 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.
- Upper-intermediate English level.

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.

PERKS AND BENEFITS
- 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


Requirements
- +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). -Scripting and automation proficiency in Java, JavaScript, or Python. -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.