
Global financial services firm
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 JPMorgan Chase within the Commercial and Investment Bank Payment Performance Engineering team, you will serve as the technical authority and execution lead for performance engineering across our platforms. You will be hands-on and strategic-defining non-functional requirements (NFRs) and service level objectives (SLOs), embedding performance into CI/CD, scaling automated performance testing, and driving resiliency, capacity, and user experience outcomes across distributed systems. You will set the bar for performance-first design, partner closely with architecture, SRE, and application teams, and ensure performance risks are identified and eliminated before production.
Job responsibilities
- Define and institutionalize application- and endpoint-level NFRs and SLOs, including p95/p99 latency, throughput, ramp profiles, and error budgets
- Drive proactive performance engineering through early bottleneck detection, architectural guidance, and capacity modeling
- Serve as the final technical authority for performance sign-offs across platform releases
- Design, build, and maintain automated test suites for load, stress, soak, spike, and capacity scenarios
- Virtualize partner dependencies and inject faults to validate components when upstream systems are unavailable
- Expand fully automated, environment-aware performance test execution (on-commit/overnight) with health checks and actionable sanity tests
- Build dashboards and alerts correlating performance test signals with production telemetry against defined SLOs
- Provide actionable reporting on SLO variance, drift, and per-endpoint hotspots using RUM, synthetic, and server-side metrics
- Embed performance gates into CI/CD pipelines (pre-deploy smoke, post-deploy validation, regression detection with auto-fail/notify)
- Lead chaos and resiliency experiments (CPU, memory, network, latency, dependency failures) and validate autoscaling under extreme load
- Apply AI/LLMs to workload and scenario generation, metrics interpretation, and automated reporting with measurable success guardrails
Required qualifications, capabilities, and skills
- 15+ years of overall engineering experience, with 10+ years in performance engineering for high-traffic distributed systems (web, APIs, microservices, event-driven, data-centric)
- Hands-on software engineering experience with Java/Spring Boot and Kubernetes (self-managed and EKS)
- Deep expertise in workload modeling, queuing theory, and statistical analysis of latency/throughput; fluent with percentile-based SLOs and error budgets
- Proficiency with load and protocol testing tools such as JMeter and Blaze Meter
- Scripting/orchestration skills in Java, Python, or TypeScript for performance automation and execution control
- Experience with service virtualization and fault injection (e.g., Wire Mock, Mountebank, Toxiproxy), including record-replay and dynamic templating
- Strong observability/APM capabilities using Dynatrace and/or Open Telemetry, plus RUM and synthetic monitoring approaches
- Experience building dashboards and analysis workflows in Kibana and/or Grafana to drive actionable decisions
- Strong CI/CD and DevOps experience (e.g., Jenkins, GitLab, GitHub Actions) including repeatable sign-offs, artifact/version alignment, and environment promotion
- Infrastructure-as-code and platform delivery experience (e.g., Terraform, CloudFormation) including autoscaling strategies
- Ability to partner across architecture, SRE, and application teams to coach standards adoption and drive release readiness
Preferred qualifications, capabilities, and skills
- Experience with data-platform performance optimization (e.g., Oracle tuning, JDBC pool tuning, Kafka throughput/partitioning, caching strategies)
- Strong systems and cloud performance background (Linux tooling, JVM tuning, containers, AWS primitives such as compute, ALB/NLB, EKS, networking)
- Experience with k6 and other modern cloud-native load testing frameworks
- Familiarity with service mesh technologies (Istio/Linkerd) and traffic-control patterns (rate limiting, backpressure)
- Practical application of LLMs for test generation, anomaly detection, or automated reporting in engineering workflows
- Experience operating in financial-services scale, low-latency systems, and/or regulated environments
- Knowledge of advanced performance tooling (e.g., perf, eBPF) and production-grade troubleshooting practices
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.
ABOUT US
JPMorgan Chase, 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
ABOUT THE TEAM
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.
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
3.5
薪酬
4.0
企业文化
3.8
职业发展
3.2
管理层
2.8
68%
推荐率
优点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
薪资范围
44个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1份报告
$139,000
年薪总额
基本工资
$107,000
股票
-
奖金
-
$139,000
$139,000
面试评价
4条评价
难度
3.0
/ 5
时长
14-28周
录用率
50%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
最新动态
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