Principal Software Engineer - Developer Platform Engineering

Next Frontier Capital; Palo Alto (CA); On-site; USD 210,000 - 270,000; Full time

Job summary

JPMorganChase seeks a Principal Engineer for Developer Platform Engineering to own technical strategy across a portfolio of 1,000+ services and lead a 1,000-engineer org. You will drive performance-first, resilient engineering through tooling, guardrails, and self-service platforms.

Role focuses on capacity modeling, automated assessment, SLOs, observability, and AI-enabled development workflows with secure governance. Strong leadership and collaboration across teams are essential.

Qualifications

• 15+ years of engineering experience; 8+ years in performance engineering, capacity planning, or developer platform engineering for high-traffic distributed systems.
• Experience scaling engineering practices across large organizations via self-service platforms, maturity models, and adoption playbooks.
• Hands-on software engineering with Java and Spring Boot; strong React familiarity; server-side rendering.
• Expertise in workload modeling, latency/throughput analysis, and translating goals into measurable service-level outcomes.

Responsibilities

• Define and own a portfolio-wide capacity evaluation methodology to answer “can we handle 10x?” through modeling and automated assessment.
• Build a developer platform by delivering paved roads, self-service tooling, and templated performance test harnesses.
• Set technical direction for performance, capacity, and resiliency standards, including SLOs and failure budgets.
• Design automated performance evaluation pipelines (load, stress, capacity, soak) in CI/CD with regression detection.
• Establish frontend performance standards for backend-for-frontend and React apps, including Core Web Vitals and latency breakdowns.
• Lead resiliency/chaos engineering to validate autoscaling and graceful degradation under extreme load.
• Build observability-driven capacity intelligence via production telemetry and synthetic monitoring.
• Coach teams on performance-first design and inner-sourced frameworks.
• Architect and govern AI-enabled engineering workflows with guardrails for security and reuse.

Skills

Performance engineering

Capacity planning

Developer platform eng

Java

Spring Boot

React

CI/CD

Load testing

Kubernetes

AWS

AI-enabled development

Observability

Distributed systems

Automation tooling

Education

Formal software engineering training

Tools

Dynatrace

OpenTelemetry

JMeter

k6

Gatling

Job description

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 toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities and skills

• 15+ years of overall engineering experience, with 8+ years in performance engineering, capacity planning, or developer platform engineering for high-traffic distributed systems
• Demonstrated experience scaling engineering practices across large organizations (500+ engineers) through self-service platforms, maturity models, and adoption playbooks
• Formal training or certification on software engineering concepts and 10+ years applied experience
• Hands-on software engineering proficiency in Java and Spring Boot, with strong familiarity in modern front-end ecosystems such as React and server-side rendering
• Deep expertise in workload modeling and capacity estimation, including statistical analysis of latency and throughput and translating portfolio goals into measurable service-level outcomes
• Strong application performance monitoring and observability experience (for example, Dynatrace or OpenTelemetry), including distributed tracing across request chains and continuous profiling approaches
• Experience embedding performance automation into CI/CD pipelines with regression detection, environment-aware test execution, and enforceable quality gates
• Proficiency with load testing tools (for example, JMeter, k6, or Gatling) and service virtualization or fault injection approaches for dependency isolation
• Kubernetes and cloud platform experience (for example, Amazon Elastic Kubernetes Service on Amazon Web Services), including autoscaling strategies, infrastructure as code, and cost-per-transaction awareness
• Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse

Preferred qualifications, capabilities and skills

• Experience with front-end performance optimization, including Core Web Vitals, Lighthouse CI, bundle analysis, and browser-based synthetic testing (for example, Playwright or WebPageTest)
• Experience with data platform and payment system performance, such as database tuning, event streaming throughput optimization, batch processing profiling, and rate-limit validation
• Strong systems and cloud performance background, including Linux tooling, Java Virtual Machine tuning, containers, networking, and modern HTTP optimization
• Familiarity with service mesh technologies and traffic-control patterns such as backpressure, circuit breaking, and cost-efficiency analysis
• Practical application of large language models and agent-based automation for workload generation, anomaly detection, capacity report automation, or test maintenance at scale

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase’s review of criminal conviction history, including pretrial diversions or program entries.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Provide expertise and engineering excellence to enhance, build and deliver market-leading technologies within the firm