Principal Software Engineer - Developer Platform Engineering

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

As a Principal Engineer, Developer Platform Engineering at JPMorganChase within the Commercial and investment Bank Digital Channels and Connectivity team, you will own the technical strategy and execution for developer platform capabilities across a portfolio of 1,000+ services and a 1,000-engineer organization.

You will establish whether the portfolio can handle 10x load and build continuous, automated ways to answer that question reliably at any time.

You will influence standards, release readiness, and architectural decisions as a peer to senior engineering leaders, while enabling application teams to adopt performance-first, resilient engineering practices through great tooling and clear guardrails.

Job responsibilities


* Define and own a portfolio-wide capacity evaluation methodology to answer "can we handle 10x?" through workload modeling, bottleneck identification, and automated assessment at scale


* Build a developer platform engineering practice by delivering paved roads, self-service tooling, and templated performance test harnesses that teams can adopt with minimal specialist support


* Set technical direction for performance, capacity, and resiliency standards, including service level objectives (SLOs), error budgets, and performance budgets, and drive adoption through scorecards and release-readiness gates


* Design and implement automated performance evaluation pipelines (load, stress, capacity, soak) embedded in continuous integration and continuous delivery (CI/CD), with regression detection and actionable reporting


* Establish front-end performance standards for backend-for-frontend and React applications, including Core Web Vitals, bundle budgets, and latency decomposition across request flows


* Lead resiliency and chaos engineering strategy to validate autoscaling behavior, dependency failure handling, and graceful degradation patterns under extreme load


* Build observability-driven capacity intelligence by correlating performance test signals with production telemetry, real user monitoring, and synthetic monitoring to surface portfolio-level risk and per-service hotspots


* Coach and enable performance engineers and application teams on performance-first design, shifting testing and validation earlier through self-service and inner-sourced frameworks


* 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 ...