Software Engineer III, Performance and Resiliency Engineering

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Chicago, ILPlano, TX
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $167k
$110k $209k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $135,000–$198,968.

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 1254 open roles on FindRole.

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At a glance

TL;DR · Software Engineer III, Performance and Resiliency Engineering

As a Software Engineer III - Performance and Resiliency Engineering within the Consumer & Community Banking team, you will serve as a seasoned member of an agile team designing trusted, scalable technology products. Your daily responsibilities include contributing to performance engineering through load, stress, and soak testing, capacity modeling, and performance tuning. You will improve production readiness by implementing observability metrics, actionable alerting, and root-cause analysis while applying resiliency patterns like circuit breakers and rate limiting. You will optimize containerized workloads across EKS and ECS, develop secure production code, and drive the adoption of AI-assisted engineering practices. Required skills include experience with AWS, Kubernetes, and observability tools like Splunk, Datadog, or Grafana. You will solve technical problems regarding high-volume platform stability and distributed systems reliability.

What does a Software Engineer earn in Illinois?

Median $169000 from 83 postings across 28 companies.

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What you'll do

  • Develop secure, high-quality production code and perform code reviews and debugging for other team members.
  • Conduct performance engineering tasks including load testing, capacity modeling, and performance tuning.
  • Improve production readiness by implementing observability metrics, actionable alerting, and root-cause analysis.
  • Apply resiliency patterns such as circuit breakers, retries, and rate limiting to ensure system stability.
  • Support safer software releases using canary deployments, progressive delivery, and automated rollback patterns.
  • Optimize containerized workloads across EKS and ECS, including autoscaling strategies and resource right-sizing.
  • Drive the adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Experience improving the performance and stability of critical, high-volume platforms.
  • Experience in performance engineering for distributed systems and/or SRE-style reliability engineering in production.
  • Strong cloud/container background including AWS, Kubernetes/EKS, and ECS.
  • Experience with modern observability tooling such as Splunk, Datadog, Dynatrace, Grafana, OpenTelemetry, or CloudWatch.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and coaching others on compliant usage.
  • Ability to tackle design and functionality problems independently with little to no oversight.
  • Hands-on with load/performance tools (JMeter, Gatling, k6) and JVM profiling (preferred).

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