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# Senior Lead Software Engineer - Performance and Resiliency Engineering

- **Company:** JPMorgan Chase & Co.
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Databases, Distributed Systems, Failover, Fault Tolerance, Performance Tuning, Reliability Engineering, Akamai, Software Engineering, Datadog, Grafana, Rate Limiting, Containerization, Kubernetes, Cloudwatch, Dynatrace
- **Published:** September 3, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27989567/Senior-Lead-Software-Engineer-Performance-Resiliency-Engineering-Florida-Tampa-7463

## About the Role

* 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.

## Description

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., * 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.


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