架构师 III，云架构：市场科技
Architect III, Cloud Architecture: MarketsTechnology
如果你对塑造技术的未来并推动金融服务领域的重大业务影响充满热情，我们正寻找像你这样的人。加入我们的团队，帮助我们开发具有变革意义的高质量解决方案。
作为摩根大通商业与投资银行市场技术团队的架构师III，你是交付高质量架构解决方案的核心成员，这些方案涵盖软件应用和平台产品，利用AWS/云和企业授权的AI技术。你推动重要的业务影响，并帮助在多个领域（包括云、数据和AI驱动的模式）塑造目标架构。你将与其他架构师和工程团队合作，设计并交付安全、可靠且可扩展的解决方案，以支持前台交易、销售、研究和市场运营的工作流程。
职位职责
- 执行架构解决方案和技术故障排除，能够超越常规方法，构建解决方案并分解复杂问题。
- 在工作环境中应用企业授权的AI能力，以加速架构分析和设计（例如选项评估、权衡和文档），根据敏感性和安全要求验证输出并处理数据。
- 利用强大的AWS/云专业知识，应用云原生原则，评估解决方案设计，并提供在核心架构标准与务实权衡之间取得平衡的架构建议。
- 为复杂的应用程序生成架构和设计文档，评估设计建议，并负责确保软件代码开发满足设计约束。
- 创建安全且高质量的生产代码，并维护与适当系统同步运行的算法和服务。
- 在架构治理机构中代表产品或平台，并参与架构决策、标准对齐和风险评审。
- 领导产品团队使用现有标准和框架评估新技术，并制定建议以推动向现代架构的进展。
- 推动企业授权的AI驱动模式和规范在工作环境中的优先采用，贯穿产品的SDLC和工程治理（例如设计评审、CI/CD质量门禁、测试和操作准备），确保实施到位
查看英文原文
If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions.
As an Architect III at JPMorganChase within the Commercial & Investment Bank, Market technologies team, you are an integral part of a team that delivers high-quality architecture solutions across software applications and platform products, leveraging AWS/cloud and enterprise-authorized AI. You drive significant business impact and help shape target-state architecture across multiple domains, including cloud, data, and AI-enabled patterns. You will collaborate with other architects and engineering teams to design and deliver secure, resilient, and scalable solutions that support front-office trading, sales, research, and market-operations workflows.
Job Responsibilities
- Executes architecture solutions and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down complex problems.
- Applies enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and design (e.g., option evaluation, trade-offs, and documentation), validating outputs and handling data according to sensitivity and security requirements.
- Leverage strong AWS/cloud expertise to apply cloud-native principles, assess solution designs, and provide architecture recommendations that balance core architecture standards with pragmatic trade-offs.
- Produces architecture and design artifacts for complex applications, evaluates design recommendations, and is accountable for ensuring that design constraints are met by software code development.
- Creates secure and high-quality production code and maintains algorithms and services that run synchronously with appropriate systems.
- Represents a product or platform in architectural governance bodies and contributes to architecture decisions, standards alignment, and risk reviews.
- Leads the product team in evaluating new technologies using existing standards and frameworks, and develops recommendations to influence progress to modern architecture.
- Drives reuse-first adoption of enterprise-authorized AI-enabled patterns and guardrails within the work environment across the product’s SDLC and engineering governance (e.g., design reviews, CI/CD quality gates, testing, and operational readiness), ensuring traceability and human-in-the-loop validation.
- Contributes to architecture communities of practice and events that explore new and emerging technologies relevant to Market Equities platforms (e.g., low-latency systems, streaming, cloud patterns, data/AI architecture, and resilience engineering).
Required Qualifications, Capabilities, and Skills
- Formal training or certification on architecture concepts and 3+ years applied experience
- Strong knowledge of one or more software applications and architecture development within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, distributed systems, etc.)
- Working knowledge of applying enterprise-authorized AI capabilities within the work environment to software engineering workflows (e.g., requirements interpretation, design support, code/test assistance) with strong validation habits and awareness of data sensitivity.
- Ability to evaluate and integrate AI-enabled features and architectural patterns (e.g., model/service integration, retrieval patterns, monitoring considerations) while maintaining security, resiliency, and auditability expectations.
- Ability to evaluate current technologies and recommend ways to optimize architecture, scalability, reliability, latency, and cost.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Proficient in coding in one or more languages.
- Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Overall knowledge of the Software Development Life Cycle, including agile practices such as CI/CD, application resiliency, and security.
Preferred Qualifications, Capabilities, and Skills
- Experience building and deploying agentic AI applications (e.g., multi-step orchestration, tool use, guardrails, evaluation/monitoring).
- Strong understanding of hybrid and multi-cloud operational models, including resilience patterns, identity and access management, secrets management, networking, and secure operations.
- Familiarity with financial-services regulatory and control frameworks, with emphasis on operational resilience, auditability, and evidence-based controls.
- Experience establishing architecture standards, governance practices, and reusable enterprise patterns (reference architectures, blueprints, patterns, golden paths).
- Experience with formal architecture governance frameworks (e.g., TOGAF or equivalent), including architecture review processes and decision records.
Originally posted on Himalayas