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As a Principal Software Engineer at JPMorgan Chase within the Finance Technology Team, which is aligned to Corporate Technology Division, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
Job responsibilities
- Leads the end-to-end design, development, and deployment of the Interest Rate Risk platform, ensuring scalability, reliability, and security
- Architects cloud-native solutions using AWS services and modern DevOps practices
- Develops robust, high-performance applications, focusing on data processing, analytics, and integration with enterprise systems
- Collaborates with cross-functional teams, including Risk, Finance, Data Engineering, and Infrastructure, to gather requirements and deliver solutions
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Establishes and enforce engineering best practices for code quality, testing, CI/CD, and documentation
- Mentors and guide engineering teams, fostering a culture of technical excellence and continuous improvement
- Ensures compliance with regulatory requirements and internal risk management policies
- Influences leaders and senior stakeholders across business, product, and technology teams
- Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorised 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-authorised AI-assisted development and automation capabilities, to improve the value realised by automation at scale
Required qualifications, capabilities, and skills
- 10+ years relevant experience while having an overall of min 15+ years of technology experience
- Prior experience delivering large-scale, mission-critical platforms with deep expertise in AWS cloud services and architecture
- Advanced proficiency in Python or Java, including experience with data processing frameworks and libraries
- Experience with microservices, API design, data pipelines and distributed systems
- Familiarity with DevOps tools and practices (e.g., Docker, Kubernetes, Terraform, CI/CD pipelines)
- Excellent problem-solving, analytical, and communication skills
- Demonstrated ability to lead and mentor engineering teams
- Experienced and comfortable with data and analytics
- Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorised 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 pattern
Preferred qualifications, capabilities, and skills
- Strong understanding of risk management concepts, preferably within the financial services industry.
- Experience in Orchestration
- Experience with big data technologies (e.g., Spark, Hadoop) and data visualisation tools.
Skills Required
- 10+ years of relevant experience and at least 15 years of overall technology experience
- Experience delivering large-scale, mission-critical platforms
- Deep expertise in AWS cloud services and architecture
- Advanced proficiency in Python or Java, including data-processing frameworks and libraries
- Experience with microservices, API design, data pipelines, and distributed systems
- Familiarity with DevOps tools and practices, including Docker, Kubernetes, Terraform, and CI/CD pipelines
- Excellent problem-solving, analytical, and communication skills
- Ability to lead and mentor engineering teams
- Experience and comfort working with data and analytics
- Experience designing and leading adoption of agentic AI-enabled development practices across teams
- Ability to establish human-in-the-loop validation, auditability, traceability, and secure handling of sensitive data
- Understanding of responsible AI use and engineering workflow control expectations
- Ability to influence senior technical leaders on safe AI scaling patterns
- Understanding of risk management concepts, preferably in financial services
- Experience with orchestration
- Experience with big data technologies such as Spark or Hadoop and data visualization tools
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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