JPMorganChase
Website:
jpmorganchase.com
Company:
https://www.linkedin.com/company/jpmorganchase
Seniority: Not Applicable
Industries: Financial Services
Job details:
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Asset and Wealth Management Technology, you serve as a seasoned member of an agile team designing and delivering market-leading technology products in a secure, stable, and scalable way. You will help transform and build capabilities for a modern, cloud-native services and event/workflow-driven architectures, leveraging AWS managed services (e.g., Lambda and Step Functions), enabling and integrating with applications running on private cloud and of various design patterns. You will partner closely with product owners, engineers, and stakeholders to deliver resilient solutions that improve time-to-market, operational excellence, and client experience across the lending lifecycle.
Job Responsibilities
- Design, develop, and deliver scalable, resilient backend services using Java (Spring Boot) and Python.
- Build cloud-native components on AWS, leveraging managed services such as AWS Lambda and AWS Step Functions (plus related services such as API Gateway, SQS/SNS, CloudWatch as applicable).
- Design and optimize data models and queries in PostgreSQL, ensuring performance, integrity, and maintainability (schema design, indexing, migrations) and develop and maintain user-facing features using Svelte or another modern UI framework (e.g., React/Angular/Vue), integrating with backend APIs and ensuring a high-quality user experience.
- Collaborate across backend, UI, and product to translate requirements into clear UI behavior, usability, and accessibility considerations, and produce or contribute to architecture and design artifacts; ensure design constraints are met in code.
- Implement and improve CI/CD pipelines and engineering standards (code quality, security scanning, observability, deployment automation).
- Participate in end-to-end delivery, including supporting applications running in production and test environments to ensure stability, performance, and availability, and perform incident triage, troubleshooting, and root-cause analysis across services, workflows, and databases; drive fixes through to resolution and prevent recurrence.
- Improve observability (logs, metrics, traces, dashboards, alerts) and operational runbooks to reduce mean time to detect/restore and improve resilience, and contribute to engineering communities of practice and foster a culture of inclusion, accountability, and continuous learning.
- Demonstrate a learning mindset: ramp up quickly, run pragmatic experiments/spikes, and apply new technologies where they add value and use AI-assisted development techniques (where approved) to accelerate implementation (scaffolding, test creation, refactoring, documentation, troubleshooting) while validating correctness and security.
- Practice specification-driven development: translate requirements into clear technical designs (APIs, workflows, data contracts, UI behavior), define acceptance criteria, and deliver against functional and non-functional needs.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on experience in system design, application development, testing, and operational stability.
- Strong proficiency in Java (Spring Boot) and/or Python in a production environment.
- Experience delivering on AWS and using managed services/serverless patterns (including Lambda and Step Functions) with solid experience with relational databases, including PostgreSQL (data modeling, SQL performance tuning, migrations).
- Front-end development experience with modern frameworks; demonstrated ability to ramp quickly with demonstrated hands-on experience in front end technology.
- Strong understanding of SDLC and agile delivery practices, including CI/CD, automated testing, resiliency, and security fundamentals.
- Experience in leveraging AI-assisted development responsibly, with ability to validate outputs, write tests, and explain design decisions.
- Demonstrated curiosity, adaptability, and ability to learn quickly and try new technologies to solve problems effectively along with demonstrated experience providing production and non-production (test/UAT) application support, including monitoring, troubleshooting, and incident/problem management.
- Strong understanding of operational best practices: release management, on-call/rotation support (as applicable), resiliency patterns, and post-incident reviews with ability to diagnose issues across distributed systems using logs/metrics/tracing and to collaborate effectively during high-severity events.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred Qualifications, Capabilities, And Skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Familiarity with event-driven architecture, workflow orchestration, and distributed system patterns.
- Observability and production excellence experience (logging/metrics/tracing, alerting, SLOs).
- Experience with API design (REST) and contract testing.
- Background in lending/credit domain (helpful, not required)
- Knowledge in Svelte UI development experience (helpful, not must)
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