Senior Software Engineer: AI-Driven, Scalable Cloud Services

JPMorganChase

Plano (TX)

On-site

USD 150,000 - 230,000

Full time

4 days ago

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Job summary

JPMorganChase in Plano, TX, seeks an experienced software engineer to own end-to-end components, drive architecture and delivery for enterprise-scale platforms. You will partner with product, design, and engineering teams to translate complex requirements into actionable plans, and implement secure, observable services using microservices in a cloud-native environment.

You will lead technical discovery, guide large teams, and champion responsible AI adoption, with a strong emphasis on testing,

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience.
10+ years of hands-on enterprise software engineering experience using Java, J2EE, REST APIs, Spring Boot, Hibernate or another ORM, microservices, and relational databases such as Oracle or Sybase.
Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Strong experience designing highly scalable, secure, resilient, and observable distributed systems.
Deep understanding of object-oriented design, Domain-Driven Design, microservices patterns, client-server architecture, and modern cloud-native architectures.
Strong test-driven development skills and practical experience with JUnit, Mockito, Cucumber, or comparable automation frameworks.
Proficiency in SQL, complex queries, joins, stored procedures, views, indexes, and database change management; Liquibase experience is beneficial.
Hands‑on experience building CI/CD pipelines using Git, Maven, Jenkins, SonarQube, or equivalent tools.
Experience with Agile software delivery and a track record of leading technical work in collaborative, cross-functional teams.
Strong analytical and problem‑solving skills, with excellent attention to detail and the ability to communicate complex ideas clearly.

Responsibilities

Own application components end-to-end across the SDLC, including architecture, build, test, deploy, observability, and production support.
Partner with product, design, business, and engineering stakeholders to translate complex requirements into actionable technical plans.
Design and deliver secure, resilient, high-performance services and user experiences for enterprise-scale managed-account platforms.
Lead technical discovery, solution design, complexity estimation, and implementation for high-impact initiatives.
Coach engineers via code reviews, pairing, technical stories, and pragmatic engineering standards.
Drive adoption of enterprise-approved AI-assisted engineering practices to improve quality, speed, and operational outcomes.
Apply appropriate architectural patterns (DDD, microservices, event-driven, cloud-native) where they add clear value.
Use AI coding tools to accelerate understanding, delivery, testing, debugging, docs, and modernization.
Create high-quality prompts and reusable guidance that provide AI agents with necessary business, architecture, and repo context.
Validate all AI-generated changes (secure coding, peer review, automated testing), keep edits focused, protect sensitive data, and remain accountable for outcomes.
Improve CI/CD, test automation, developer experience, and operational readiness by reducing manual effort and tightening feedback loops.