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 Engineering at JPMorgan Chase within the Chief Data and Analytics Organization, 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.. Your expertise is applied cross-functionally to evolve firm wide Data Mesh, AI/ML and GenAI, and Data Governance platform. You will play a pivotal role in driving advanced technical capabilities/frameworks, and collaborate with colleagues across the organization to deliver scalable, high-performance, and best-in-class platform.
Job responsibilities
- Defines the technical vision and architectural direction for back-end services
- Provides technical leadership through hands-on contribution and mentoring: contribute high-quality code, perform code reviews, and champion best practices in software engineering, including design patterns, testing methodologies, and operational excellence
- Leads critical design decisions: data models, consistency trade-offs, API contracts, failure modes, with full ownership from design through production. Resolve unforeseen engineering obstacles effectively
- Defines and maintain libraries, SDKs, and frameworks that become the default building blocks for engineering teams across the organisation, reducing duplication and accelerating delivery
- Drives reliability, performance, and cost efficiency across services. Embed security, compliance, and data-privacy considerations into architecture decisions from the outset
- Shapes the technology roadmap by evaluating emerging tools and established techniques, balancing cost, complexity, and performance
- Harnesses AI and approved coding-assist tools as core enablers of day-to-day work, delivering measurable gains in code quality, velocity, and team productivity. Continuously deepen technical. and domain expertise to evaluate and adopt emerging technologies that strengthen scalability, resilience, and security across Global Technology
- Partners with Product and Engineering leadership to align technical strategy with business objectives
- 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
- 12+ years of engineering leadership, while having an overall of around 20 years experience and 5+ years at staff/principal level, with ability to manage multiple complex assignments, driving engineering deliveries and work with geographically dispersed cross-functional teams
- Expert-level proficiency in Java 17+. Expert knowledge of OOP/OOD, performance optimisation, concurrency and parallelism with understanding of other programming paradigms like functional, event-driven, reactive, and metaprogramming
- Expert-level understanding of RESTful architecture: resource modelling, idempotency, caching, pagination, rate limiting, version strategies, contract-first development with OpenAPI, track record of defining API standards adopted across engineering organisations
- Working knowledge of modern front-end architectures and frameworks, sufficient to review UI integration approaches, advise on API consumption patterns, and ensure alignment between front-end and back-end teams on contracts, error handling, and performance expectations
- Expertise across multiple architectural paradigms: event-driven, CQRS, SOA, hexagonal, serverless, domain-driven design, saga patterns, and pipe-and-filter, with the judgement to know which to apply, when to go hybrid, and when not to
- Proven track record in designing and delivering large-scale distributed systems and microservices architectures with high availability and fault tolerance plus fluency in consensus, partitioning, replication, and consistency models, with the judgement to define service boundaries, manage inter-service communication, and navigate implied operational complexity at scale
- Expert-level proficiency with AWS and cloud-native architecture. Specifically EKS, and AWS Networking. Broad working knowledge of the wider AWS ecosystem: compute, serverless, messaging, storage, and IAM, with the architectural judgement to select, combine, and optimise services for cost, resilience, and performance at scale
- Substantive experience with databases at scale such as Neo4j, PostgreSQL, and with streaming and messaging platforms such as Kafka, Kinesis, or Flink with extensive expertise in observability across distributed systems: metrics, logging, tracing, and alerting, with practical knowledge of Datadog and AWS CloudWatch plus ability to define instrumentation standards, establish SLOs/SLIs, and build observability practices
- Strong understanding of QA and test automation strategies: unit, integration, contract, and end-to-end. Able to define testing standards, champion shift-left practices, and guide teams in building reliable tests suites that scale with distributed systems
- 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 patterns and reuse
Skills Required
- 12+ years of engineering leadership experience, approximately 20 years of overall experience, and 5+ years at staff or principal level
- Expert proficiency in Java 17+
- Expert knowledge of object-oriented programming, object-oriented design, performance optimization, concurrency, and parallelism
- Expert understanding of RESTful architecture, OpenAPI, API standards, resource modeling, caching, pagination, rate limiting, and versioning
- Working knowledge of modern front-end architectures and frameworks
- Expertise with event-driven, CQRS, SOA, hexagonal, serverless, domain-driven, saga, and pipe-and-filter architectures
- Experience designing and delivering large-scale distributed systems and fault-tolerant microservices architectures
- Expert proficiency with AWS, Amazon EKS, AWS Networking, and cloud-native architecture
- Experience with Neo4j and PostgreSQL databases at scale
- Experience with Kafka, Kinesis, or Flink streaming and messaging platforms
- Extensive distributed-systems observability experience, including metrics, logging, tracing, alerting, Datadog, and AWS CloudWatch
- Strong understanding of unit, integration, contract, and end-to-end test automation strategies
- Experience designing and leading adoption of agentic AI-enabled development practices
- Understanding of responsible AI, security, resiliency, data sensitivity, auditability, and risk-based governance
- Ability to lead complex engineering assignments and collaborate with geographically dispersed cross-functional teams
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 — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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