waypointjobs

Subway

Sr. Performance Engineer

shelton, CT

Check who can apply and the requirements below before continuing.

About this opportunity

Subway lists this Sr. Performance Engineer opportunity in shelton, Connecticut. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Why Join Subway?

At Subway, we are not standing still. We are building.

Franchise World Headquarters, LLC

Why Join Subway?

At Subway, we are not standing still. We are building.

This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.

You will not just do the work. You will shape it.

We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.

If you bring energy, accountability and a bias for action, you will fit right in.

We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.

This is your chance to be part of what’s next.

Position Overview

The Sr. 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 Subway's global digital ecosystem — web, mobile, kiosk, POS, loyalty, and payments. The role combines hands-on performance engineering with reliability and resilience practices and AI-native enablement to ensure scalable, performance-ready systems in accelerated delivery cycles. The Sr. Performance Engineer partners closely with Site Reliability, Observability, DevOps, and Architecture teams to improve reliability, reduce operational risk, and validate resilience through chaos engineering.

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; 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, support production performance-incident resolution, and 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.

Qualifications

5–7+ years in performance engineering or non-functional testing at enterprise scale.

Hands-on expertise with performance testing tools (e.g., JMeter, k6, LoadRunner, NeoLoad, OctoPerf) and observability platforms (e.g., Dynatrace, cloud-native monitoring).

Experience integrating performance validation into CI/CD pipelines and partnering with SRE/DevOps practices; familiarity with chaos engineering.

Proficiency scripting and automating in Java, JavaScript, or Python; comfortable working in cloud environments (AWS and/or Azure).

Hands‑on experience with AI‑assisted engineering tools, including reviewing and validating AI-generated output.

Strong communication and stakeholder leadership skills; ability to translate technical performance findings into business impact for non-technical audiences.

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Preferred Qualifications

Experience in QSR, retail, or high-volume consumer digital commerce environments.

Familiarity with SRE principles, error budgets, and reliability-driven delivery models.

Experience with contract or consumer-driven testing practices.

Background working across mobile, kiosk, or embedded platform performance testing.

What do we offer?

Insurance Plans (Medical, Life)

Pension/401K/RSP (country specific)

Competitive Bonus

Mobility Allowance

Tuition Reimbursement

Company Holidays

Volunteering time

And More…..

#J-18808-Ljbffr

Worksite address

shelton, CT, 06484, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

Ready for your next step?Apply on the official website
Apply on WhatJobs ↗

Explore related searches

Current related jobs

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

Space Systems Mechanical Engineer

laurel, MD

See pay details in description

Description Do you want to design and build unique space structures and spacecraft for NASA missions that enable groundbreaking scientific disco…

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

System Security Engineer

laurel, MD

See pay details in description

Description Are you looking for an opportunity to utilize your technical skills to solve complex, real-world problems? If so, we're looking …

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

Advanced Reentry Mission Engineer

laurel, MD

See pay details in description

Description Are you interested in hypersonic and reentry system design and prototyping? Do you want to make contributions to next generation …

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

Thermal and EO/IR Modeling and Simulation Engineer

laurel, MD

See pay details in description

Description Are you looking for a unique opportunity to impact significant advances to the nation's groundbreaking integrated air and missile de…

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

Network Effects Engineer

laurel, MD

See pay details in description

Description Do you want to perform advanced research, development, and test & evaluation of communications systems and network technologies that…

Listing review due 2026-10-06View job

Johns Hopkins Applied Physics Laboratory (APL)

WhatJobs

System Realization and Resilience Engineer

laurel, MD

See pay details in description

Description Are you passionate about applying system engineering principles to influence the development and resilience of future strategic weap…

Listing review due 2026-10-06View job