Senior Lead Software Engineer, Performance and Resiliency Engineering

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Plano, TXTampa, FL
Employment
Full-time
Posted
32 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $176k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $150,187–$201,337.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1122 open roles on FindRole.

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At a glance

TL;DR · Senior Lead Software Engineer, Performance and Resiliency Engineering

As a Senior Lead Software Engineer - Performance and Resiliency Engineering within the Merchant Services team, you will focus on improving the performance and stability of critical, high-volume platforms. You will partner with application development and infrastructure teams to identify bottlenecks across the stack including database, network, compute, and platform layers. Your daily work involves leading load testing, capacity modeling, and performance tuning while implementing resiliency patterns like circuit breakers, rate limiting, and graceful degradation. You will manage production readiness through observability, incident triage, and root-cause analysis while driving safer releases via canary deployments. The role requires expertise in distributed systems, AWS, Kubernetes, EKS, and ECS. You will utilize tools such as Datadog, Dynatrace, Grafana, OpenTelemetry, CloudWatch, KEDA, Karpenter, and Akamai to ensure peak-event readiness and optimize containerized workloads for high throughput and lower latency.

What you'll do

  • Lead performance engineering efforts including load testing, capacity modeling, and performance tuning.
  • Identify and resolve bottlenecks across application, database, network, and compute layers.
  • Improve production readiness through enhanced observability, actionable alerting, and root-cause analysis.
  • Implement resiliency patterns such as circuit breakers, rate limiting, and graceful degradation.
  • Drive safer releases using canary deployments and automated rollback patterns.
  • Optimize containerized workloads on EKS and ECS including autoscaling and resource right-sizing.
  • Establish performance guardrails and acceptance criteria to prevent regressions.

What we're looking for

  • Senior experience in performance engineering for distributed systems or SRE-style reliability engineering in production.
  • Strong cloud and container background with AWS and Kubernetes/EKS.
  • Experience with modern observability tooling such as Datadog, Dynatrace, Grafana, OpenTelemetry, or CloudWatch.
  • Experience with KEDA and/or Karpenter (preferred).
  • Experience with Akamai (preferred).
  • Demonstrated ability to lead through influence, mentor engineers, and collaborate across teams.

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