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Director Performance Engineering Jobs in Connecticut

LiquidPiston

Engine Performance Engineer

Suffield, CT · On-site

Senior Engineer - Performance & Calibration This role is fully onsite in Bloomfield, CT, five days ... directed learning and formal training. Requirements: * PhD or MS in Mechanical Engineering (BS with ...

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Director Performance Engineering information

What does a director of performance engineering do?

A Director of Performance Engineering leads teams responsible for ensuring that software, systems, or applications perform optimally and efficiently at scale. They set performance goals, develop testing strategies, and oversee the identification and resolution of bottlenecks. This role involves collaborating with engineering, operations, and product teams to build robust, high-performing solutions. Additionally, they provide technical leadership, mentor team members, and define best practices for performance testing and monitoring.

What are the key skills and qualifications needed to thrive as a director of performance engineering?

To thrive as a Director of Performance Engineering, you need deep expertise in software performance optimization, systems architecture, and a strong background in computer science or a related field, often with advanced degrees or equivalent experience. Familiarity with performance testing tools (such as JMeter, LoadRunner), monitoring platforms (like New Relic, Dynatrace), and cloud infrastructure is typically required, along with certifications in relevant technologies. Exceptional leadership, cross-functional collaboration, and strategic problem-solving abilities make candidates stand out in this role. These skills are crucial for driving high-performing teams, ensuring system reliability, and delivering scalable solutions that support business objectives.

How does a director of performance engineering typically collaborate with cross-functional teams to drive system optimization?

A Director of Performance Engineering frequently works closely with software development, operations, and product teams to identify performance bottlenecks and implement solutions. They lead performance reviews, set benchmarks, and coordinate testing strategies to ensure systems meet business requirements. Regular communication and joint troubleshooting sessions are common, as the role requires balancing technical needs with business priorities. This collaborative approach helps ensure that performance goals are aligned across the organization and that issues are resolved efficiently.

What is the difference between Director Performance Engineering vs Performance Engineer?

AspectDirector Performance EngineeringPerformance Engineer
ResponsibilitiesOversees performance testing strategies, manages teams, and aligns performance goals with business objectives.Conducts performance testing, analyzes system performance, and reports findings to improve application efficiency.
Required SkillsLeadership, project management, advanced performance testing expertise, and strategic planning.Technical performance testing skills, scripting, and performance analysis.
Work EnvironmentSenior management, cross-functional teams, strategic planning sessions.Technical teams, testing labs, development environments.

The main difference is that the Director Performance Engineering leads and strategizes performance initiatives at an organizational level, while the Performance Engineer focuses on executing performance tests and analyzing system performance. The director role involves leadership and planning, whereas the performance engineer role is more technical and hands-on.

What are the most commonly searched types of Performance Engineering jobs in Connecticut?

The most popular types of Performance Engineering jobs in Connecticut are:

What are popular job titles related to Director Performance Engineering jobs in Connecticut?

For Director Performance Engineering jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Director Performance Engineering jobs in Connecticut look for?

The top searched job categories for Director Performance Engineering jobs in Connecticut are:

Director Performance Engineering jobs near you
Infographic showing various Director Performance Engineering job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Performance Engineer ID84179

Trumbull, CT • On-site, Remote

AgileEngine
Software Development • 201 - 500 employees
Learn more about AgileEngineexternal

Full-time

This job post has expired today. Applications are no longer accepted.

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