Lead Architect - Java, Kubernetes

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As a Lead Architect at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for conducting critical architecture solutions across multiple technical areas within various business functions in support of project goals.

Job responsibilities

• Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future needs
• Defines the technical target state of their product and drives achievement of the strategy
• Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture discovery and decisioning, with human-in-the-loop validation and appropriate handling of sensitive data.
• Evaluates recommendations and provides feedback on new technologies, including outcomes-oriented evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and applicability within existing systems and information
• Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

• Formal training or certification on architecture concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability for large-scale, distributed, mission-critical systems
• Advanced in one or more programming language(s) Java 17+ with Spring Boot and microservices.
• Proficient across SDLC execution, including automation/continuous delivery practices and agile methods such as CI/CD, application resiliency, and security
• Demonstrated proficiency within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) and ability to evaluate current and emerging technologies to recommend future-state solutions
• Experience applying enterprise-authorized AI capabilities within the work environment in software engineering and architecture workflows with strong validation habits and awareness of data sensitivity.
• Ability to evaluate and integrate AI-enabled capabilities into cloud-native architectures while meeting resiliency, security, and auditability requirements.
• In-depth knowledge of the financial services industry and their IT systems
• Strong knowledge of architecture patterns such as event-driven and streaming (Kafka), CQRS, Saga, domain-driven design and API design. Strong data architecture skills, including data modeling, Oracle and complex SQL, NoSQL, and options such as ODS, data lake, data warehouse, OLTP and OLAP
• Practical cloud-native experience with AWS (or equivalent), Docker, Kubernetes, infrastructure as code and observability
• Experience with architecture modeling tools such as C4, UML or Lucid. Ability to independently solve complex design problems, with strong communication skills to simplify complexity and influence senior business and technology stakeholders

Preferred qualifications, capabilities, and skills

• Domain knowledge of intraday liquidity, cash management, payments or reconciliation, including intraday liquidity monitoring requirements (e.g., BCBS 248)
• Cloud architecture certification (e.g., AWS Solutions Architect) or TOGAF. Experience with SRE practices (SLOs/SLIs), chaos engineering and FinOps
• Experience building agentic AI or GenAI applications (e.g., RAG, multi-step orchestration, guardrails, evaluation and monitoring)
• Experience establishing reference architectures, blueprints, golden paths and architecture review practices. Track record of modernizing legacy platforms in a regulated environment and understanding of hybrid and multi-cloud operating models, and distributed caching (e.g., Redis, Hazelcast)

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 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.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.