Lead Software Engineer- Java Back End, AWS

JPMorganChase

Plano (TX)

On-site

USD 120,000 - 190,000

Full time

36 hours ago
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Benefits offered by this job

Health insurance
Wellness centers
Retirement plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Job summary

JPMorganChase is seeking an experienced backend engineer to join an agile team focused on delivering trusted technology products. You will contribute to secure, scalable code and drive AI-assisted development across teams.

You will work with Java/Spring and Python, leveraging AWS services and modern data stores to enable resilient systems. Strong collaboration and leadership are essential to guide cross-functional initiatives.

Qualifications

  • Formal training or certification on software engineering concepts.
  • Experience developing or leading large or cross-functional teams of technologists.
  • Expert-level backend engineering in Java (Spring Boot, Spring Integration, Hibernate/JPA) and/or Python; strong SQL and data modeling across relational and NoSQL systems.

Responsibilities

  • Regularly provides technical guidance and direction to support the business and its technical teams.
  • Develops secure and high-quality production code, and reviews and debugs code written by others.
  • Drives adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.

Skills

Java Spring
Python
AWS
Kafka
CI/CD
Distributed systems
Communication
Leadership
AI engineering

Tools

ECS
EKS
Lambda
Aurora
DynamoDB
S3
Glue

Job description

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

Be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities
  • Regularly provides technical guidance and direction to support the business and its technical teams
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Required Qualifications, Capabilities, And Skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Experience developing or leading large or cross-functional teams of technologists
  • Expert-level backend engineering in Java (Spring Boot, Spring Integration, Hibernate/JPA) and/or Python; strong SQL and data modeling across relational and NoSQL systems.
  • Deep AWS experience: ECS/EKS, Lambda, Aurora, DynamoDB, S3, Glue, CloudWatch — able to design, deploy, and operate cloud-native systems end-to-end.
  • Hands-on Apache Kafka experience: topic design, consumer group management, exactly-once delivery, and stream processing patterns.
  • Solid grasp of distributed systems fundamentals: consistency models, CAP trade-offs, idempotency, distributed transactions, and failure modes.
  • Strong CI/CD and test engineering practice: you build the pipelines and write tests alongside the team.
  • Excellent communicator — able to move fluidly between engineering teams and business/operations stakeholders in the same conversation.
  • Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
  • Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies
Preferred Qualifications, Capabilities, And Skills
  • Proven experience delivering in a regulated environment (financial services preferred) with working knowledge of audit, entitlement, and compliance requirements.
About Us

JPMorganChase, 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 Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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