Performance Engineer

RESPONSIBILITIES

Kforce has a client that is seeking a Performance Engineer for a contract to hire opportunity to work on-site in Shelton, CT 4 days a week. The candidate must also be able to interview in person in Shelton, CT.

Summary

The Performance Engineer owns and leads the enterprise-wide Performance Engineering function, operating as a horizontal shared service supporting all product, platform, and engineering teams across the company.

Responsibilities

• Own the enterprise Performance Engineering charter as a horizontal shared service; Define engagement models, intake/prioritization, and performance-readiness standards across the SDLC
• Design, script, execute, and report performance tests (load, stress, endurance, scalability) across high-volume ordering, kiosk, POS, loyalty, and payment flows; Establish baselines, workload models, and SLO/SLI-aligned KPIs
• 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, and standardize reporting to reduce manual effort and variability
• Partner with SRE/DevOps to define reliability-aligned targets and run controlled chaos-engineering experiments (fault/latency injection, dependency degradation) to validate resilience and recovery; Feed learnings into hardened runbooks, alerts, and automation
• Define performance-readiness criteria and provide evidence-based go/no-go recommendations for releases; Own escalation paths for performance risk and support production performance-incident resolution; Produce executive-level reporting
• Integrate AI-assisted workflows into performance planning, test-design acceleration, and results triage with human review; Maintain AI-consumable artifacts (NFRs, workload models, baselines, thresholds) and define guardrails for safe, policy-compliant AI use

REQUIREMENTS:

• 5-7+ years in performance engineering/non-functional testing at enterprise scale
• Experience with chaos engineering
• Experience integrating performance validation into CI/CD and partnering with SRE/DevOps practices
• Hands-on experience with AI-assisted engineering tools, including reviewing and validating AI-generated output, required
• Hands-on expertise with performance tools (e.g., JMeter, k6, LoadRunner, NeoLoad, OctoPerf) and observability platforms (e.g., Dynatrace, cloud monitoring)
• Proficiency scripting/automating in Java, JavaScript, or Python; Comfortable in cloud environments (AWS/Azure)
• Strong communication and stakeholder leadership skills; Ability to translate technical findings into business impact

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.

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