Principal Software Engineer - Performance Engineering

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As a Principal Software Engineer at JPMorganChase within the Commercial and Investment Bank's Digital Channels & Connectivity organization, part of our broader Payments Technology group, you will be the senior technical authority for performance engineering across our platforms. This is a hands-on leadership role for an engineer who sets direction rather than waits for it. You will tackle the performance problems that others cannot, work across the full stack from the browser to the back end and down to the operating system, and define how performance is engineered, measured, and sustained at scale. You will set standards, mentor strong engineers, and build the tools and practices that make high performance a default rather than an afterthought. Just as importantly, you will shape the strategy, build the roadmap, and earn the support of senior stakeholders to see it through. If you want real ownership, deep technical challenges, and the chance to raise the bar for an entire organization, this is the role for you.

Job responsibilities

• Own the hardest cross-stack performance problems—from the browser through the back end down to the operating system—and establish the troubleshooting standards and playbooks others follow
• Define and institutionalize NFRs and SLOs (p95/p99 latency, throughput, ramp profiles, error budgets) and serve as the final technical authority for performance sign-offs across platform releases
• Drive proactive performance engineering through early bottleneck detection, architectural guidance, capacity modeling, and runtime tuning
• Build the tooling and infrastructure that turns performance testing into a scalable, self-service capability across teams
• Design and maintain automated performance test suites (load, stress, soak, spike, capacity) with environment-aware, fully automated execution
• Embed performance gates into CI/CD pipelines and build dashboards that correlate test signals with production telemetry against defined SLOs
• Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale

Required qualifications, capabilities, and skills

• Extensive performance engineering experience (typically 12+ years) for high-traffic distributed systems—web, APIs, microservices, event-driven, and data-centric—built on a strong broader software engineering foundation