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# Director of Software Engineering- Performance Engineering

- **Company:** JPMorgan Chase & Co.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Layers, Application Services, Computer Engineering, Machine Learning, Software Engineering, Containerization, Information Technology
- **Published:** November 13, 2026
- **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210808358

## About the Role

If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you., * 12+ years of experience in software engineering, performance engineering, infrastructure engineering, or a closely related technology discipline, including substantial technical leadership experience.

 * Experience leading and developing large or cross-functional teams of technologists.
 * Demonstrated ability to identify, prioritize, and deliver technology efficiency or cost-reduction improvements across complex environments.
 * Practical experience evaluating technology services across infrastructure and application layers, in on-premises, cloud, or hybrid environments.
 * Experience leading complex initiatives involving system design, testing, implementation, and operational stability.
 * Ability to use performance, utilization, or observability data to investigate service behavior and identify opportunities for improvement.
 * Demonstrated success influencing across highly matrixed organizations and delivering measurable value at scale.
 * Strong communication and stakeholder-management skills, including the ability to explain technical findings, recommendations, and trade-offs to senior leaders and diverse audiences.
 * Experience with hiring, developing, and recognizing talent.
 * Extensive practical experience with cloud-native technologies and architectures.
 * Expert knowledge in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred qualifications, capabilities, and skills

 * Experience leading a dedicated performance engineering, capacity engineering, infrastructure efficiency, or technology cost optimization team.
 * Experience identifying and implementing efficiency opportunities across a range of compute, storage, network, platform, and application services.
 * Familiarity with performance engineering methods and tools, and the ability to assess their applicability to firm services.
 * Experience working directly with code or application internals to investigate performance characteristics and support optimization.
 * Familiarity with observability practices and tooling, including the use of metrics, logs, and traces to understand service performance and resource utilization.
 * Experience assessing AI or machine-learning workloads for efficiency, including GPU utilization, workload profiling, or model selection.
 * Ability to assess emerging technologies and industry practices and translate them into practical, measurable improvements.

## Description

* Lead one or more performance engineering teams responsible for identifying, assessing, prioritizing, and implementing technology efficiency and cost-reduction opportunities.
 * Partner with platform, infrastructure, application, and business teams across the firm to understand service requirements, performance constraints, and opportunities for improvement.
 * Evaluate services across on-premises and cloud environments, including infrastructure and application layers, to identify high-value opportunities and develop actionable recommendations.
 * Guide opportunities from discovery and analysis through design, testing, implementation, and measurement; assess realized benefits alongside performance, reliability, and operational outcomes.
 * Apply observability concepts and available telemetry to understand service behavior, identify inefficiencies, and inform performance engineering investigations.
 * Assess performance engineering tools and practices, including relevant advances in the industry and across JPMorganChase, and map them to the needs of firm services and infrastructure.
 * Advocate for the team's capabilities, recommendations, and tooling with senior leaders, stakeholders, customers, and prospective customers across business units.
 * Identify opportunities to improve AI and GPU workload efficiency, considering factors such as model selection, workload characteristics, and use of available compute resources.
 * Lead multiple technology and process implementations across departments in support of firmwide technology objectives.
 * Provide strategic direction to teams and manage multiple technical areas, departments, stakeholders, and complex cross-product initiatives.
 * Hire, develop, and recognize talent; foster a culture of diversity, opportunity, inclusion, and respect.