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Lead Software Engineer – Application Performance Engineering & Resiliency

4 Locations💼 Full-time💰 $119,000–$206,000🗓 2026-07-15 → 2026-07-30

Core

Lead performance, scalability, reliability, and resiliency initiatives for business-critical, cloud-native applications supporting millions of transactions.

Role type

Lead Software Engineer (Application Performance Engineering & Resiliency)

Builds

Highly scalable and reliable distributed systems on Java, Kubernetes/OpenShift, microservices, and APIs.

Domain

Financial services / Cloud-native infrastructure

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

Java, Spring Boot, microservices, API design, Kubernetes, OpenShift, JVM diagnostics, CoreCLR diagnostics, observability platforms (Dynatrace, AppDynamics, Splunk, Grafana, Prometheus, OTEL), messaging technologies (Kafka), RDBMS, NoSQL, CI/CD integration, chaos engineering, capacity planning, workload modeling, SLO definition, distributed tracing

Preferred skills

Functional testing, browser performance analysis, automation frameworks (Playwright, Selenium), SRE principles, production operations, resiliency testing, financial services domain experience

Technologies

Java, Spring Boot, Kubernetes, OpenShift, Kafka, Dynatrace, AppDynamics, Splunk, Grafana, Prometheus, OTEL, Harness EPLx

Responsibilities

Lead performance engineering and resiliency initiatives across large-scale distributed ecosystems; Define and implement performance, scalability, reliability, and observability standards; Partner with development teams to embed performance requirements in SDLC; Design and execute performance, load, stress, endurance, failover, and resiliency testing strategies; Identify and resolve performance bottlenecks across applications, JVMs, APIs, and infrastructure; Drive capacity planning, workload modeling, and predictive scaling strategies; Lead resiliency validation through chaos engineering and disaster recovery assessments; Establish and govern NFRs, SLOs, and production readiness criteria; Advance observability practices via monitoring, logging, and distributed tracing; Integrate automated validation into CI/CD pipelines; Serve as technical advisor and mentor to engineering teams

Seniority

Lead, hands-on IC with technical leadership

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