Live opening · Posted 6 days ago

Sr. Lead Software Engineer - Performance and Resiliency Engineering

JPMorgan Chase · Tampa, FL, United States | Plano, TX, United States
Oracle
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyJPMorgan Chase
LocationTampa, FL, United States | Plano, TX, United States
SourceOracle
Listed6 days ago

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About the role

Description supplied by the original job listing.

Performance and Resiliency Engineering Lead, Merchant Services (Senior Vice President or Executive Director)
Merchant Services is hiring an SVP/ED Performance & Resiliency Engineer to improve the performance and stability of critical, high-volume platforms. The role focuses on latency reduction, throughput/TPS improvements, capacity planning, and peak-event readiness, while also strengthening resiliency and release safety.
You will partner closely with application development teams and infrastructure/platform engineering to identify bottlenecks across the stack (application/runtime, database, network, compute, and platform), implement durable fixes, and raise engineering standards through technical leadership, mentorship, and strong cross-team collaboration.
Key responsibilities
Lead performance engineering efforts: load/stress/soak testing, capacity modeling, performance tuning, and regression prevention (KPIs, guardrails, and acceptance criteria).
Improve production readiness: observability (metrics/logs/traces/APM), actionable alerting, incident triage, and root-cause analysis leading to durable remediation.
Strengthen resiliency patterns: timeouts/retries, circuit breakers, backpressure/rate limiting, graceful degradation, and failover readiness.
Drive safer releases via canary/progressive delivery and automated rollback patterns.
Optimize containerized workloads across EKS (primary) and ECS/other compute where applicable; drive autoscaling strategy and right-sizing.
Qualifications
Senior experience in performance engineering for distributed systems and/or SRE-style reliability engineering in production.
Strong cloud/container background (AWS + Kubernetes/EKS; ECS exposure beneficial).
Experience with modern observability tooling (e.g., Datadog, Dynatrace, Grafana, OpenTelemetry, CloudWatch or equivalent).
KEDA and/or Karpenter: large plus.
Akamai: strongly preferred.
Demonstrated ability to lead through influence, mentor engineers, and work effectively across teams.

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