JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Architect - Java, Kubernetes

Backend EngineeringConfirmed live in the last 24 hours

Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification on architecture concepts and at least five years of applied experience.
Hands-on experience delivering system design, application development, testing, and operational stability for large-scale, distributed, mission-critical systems.
Advanced proficiency in at least one programming language, including Java 17 or later, Spring Boot, and microservices.
Proficiency in software development lifecycle execution, automation and continuous delivery practices, agile methods, continuous integration and continuous delivery, application resiliency, and security.
Demonstrated proficiency in a technical discipline such as cloud, artificial intelligence, machine learning, or mobile, and ability to evaluate emerging technologies and recommend future-state solutions.
Experience applying enterprise-authorized artificial intelligence capabilities in software engineering and architecture workflows, with strong validation habits and awareness of data sensitivity.
Ability to evaluate and integrate artificial-intelligence-enabled capabilities into cloud-native architectures while meeting resiliency, security, and auditability requirements.
In-depth knowledge of the financial services industry and its information technology systems.
Knowledge of architecture patterns including event-driven and streaming architectures, Kafka, CQRS, Saga, domain-driven design, and API design.
Strong data architecture skills, including data modeling, Oracle, complex SQL, NoSQL, operational data stores, data lakes, data warehouses, online transaction processing, and online analytical processing.
Practical cloud-native experience with AWS or an equivalent cloud platform, 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 and communicate complexity clearly to influence senior business and technology stakeholders.

Responsibilities

Engage technical teams and business stakeholders to discuss and propose technical approaches that meet current and future needs.
Define the technical target state of the product and drive achievement of its strategy.
Use enterprise-authorized artificial intelligence capabilities to accelerate architecture discovery and decision-making, with human-in-the-loop validation and appropriate handling of sensitive data.
Evaluate recommendations and provide 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.
Execute software design, development, and technical troubleshooting, using creative approaches to build solutions and address technical problems.
Develop secure, high-quality production code and review and debug code written by others.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
Establish reuse-first, artificial-intelligence-enabled engineering patterns and governance across software development lifecycle and toolchain practices, ensuring traceability, auditability, resiliency, and security controls.

Desired Qualifications

Domain knowledge of intraday liquidity, cash management, payments, or reconciliation, including intraday liquidity monitoring requirements such as BCBS 248.
Cloud architecture certification such as AWS Solutions Architect, or TOGAF certification.
Experience with site reliability engineering practices, including service-level objectives and indicators, chaos engineering, and FinOps.
Experience building agentic artificial intelligence or generative artificial intelligence applications, including retrieval-augmented generation, multi-step orchestration, guardrails, evaluation, and monitoring.
Experience establishing reference architectures, blueprints, golden paths, and architecture review practices.
A track record of modernizing legacy platforms in a regulated environment, understanding of hybrid and multi-cloud operating models, and experience with distributed caching such as Redis or Hazelcast.

A career with us is a journey, not a destination. This could be the next best step in your technical career. Join us.

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)

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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