高级主管软件工程师，云平台
Senior Lead Software Engineer, Cloud Platform
你是否准备好在全球金融领袖的岗位上塑造技术的未来？加入我们，通过构建支持数据驱动决策的先进云平台，真正产生影响。在摩根大通，你将与顶尖人才合作，使用前沿工具，帮助交付改变我们工作方式的解决方案。这是你突破界限、提升专业技能，并成为重视创新和持续学习的团队一员的机会。发现一段你的想法重要的职业旅程，你的技能推动变革。
作为摩根大通公司部门人工智能与机器学习数据平台团队的高级云计算工程师，你将在设计和交付支持我们数据和分析策略的安全、高质量技术解决方案中发挥关键作用。你将与我们合作开发基于云的产品，提高生产力，并在整个公司实现负责任的创新。我们一起利用人工智能和机器学习的力量创造新机遇，推动业务成功。你将有机会在一个动态、包容的环境中协作、领导并成长。
职位职责
- 为云计算工程团队提供技术领导和指导。
- 领导安全、可扩展且可靠的云基础设施和平台工具的设计与开发。
- 推动现代DevEx（开发者体验）实践的采用，优化CI/CD和开发者工具链，以提高交付速度、质量和一致性。
- 将平台战略和路线图与业务优先事项对齐；领导跨职能项目以现代化软件开发生命周期（SDLC）实践。
- 评估、集成和管理战略性工具，以减少认知负担并提升开发者体验。
- 与开发团队合作，识别并消除平台上的瓶颈。
- 定义并推广明确的路径和自助流程，以简化开发者工作流。
- 实现实时遥测管道和工作流，用于大规模平台的可观测性和分析。
- 推动能够通过清晰文档、培训、办公时间以及与开发者社区的紧密互动来提高开发者生产力的工具的采用。
- 标准化AI辅助编码工具和AI驱动的开发生态系统的使用，以加速组织内的开发工作流、代码生成和工程生产力。
- 参与人工智能的规划设计和开发
查看英文原文
Are you ready to shape the future of technology at a global financial leader? Join us and make a real impact by building advanced cloud platforms that power data-driven decision making. At JPMorgan Chase, you’ll collaborate with top talent, leverage cutting-edge tools, and help deliver solutions that transform how we work. This is your chance to push boundaries, grow your expertise, and be part of a team that values innovation and continuous learning. Discover a career adventure where your ideas matter and your skills drive change.
As a Senior Lead Software Engineer, Cloud Platform at JPMorgan Chase within the Corporate Sector AI and Machine Learning Data Platforms team, you will play a key role in designing and delivering secure, high-quality technology solutions that support our data and analytics strategy. You’ll work with us to develop cloud-based products, enhance productivity, and enable responsible innovation across the firm. Together, we’ll harness the power of artificial intelligence and machine learning to create new opportunities and drive business success. You’ll have the chance to collaborate, lead, and grow in a dynamic, inclusive environment.
Job Responsibilities
- Provide technical leadership and guidance to the cloud engineering team.
- Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
- Drive adoption of modern DevEx (Developer Experience) practices and evolve CI/CD and developer tooling to improve delivery speed, quality, and consistency.
- Align platform strategy and roadmaps with business priorities; lead cross-functional initiatives to modernize SDLC practices.
- Evaluate, integrate, and govern strategic tooling to reduce cognitive load and improve developer experience.
- Collaborate with development teams to identify and eliminate bottlenecks on the platform.
- Define and promote paved paths and self-service workflows to streamline developer workflows.
- Implement real-time telemetry pipelines and workflows for large-scale platform observability and analytics.
- Champion adoption of tools that can improve developer productivity through clear documentation, training, office hours, and close engagement with the developer community.
- Standardize use of AI-assisted coding tools and AI-powered development ecosystems to accelerate development workflows, code generation, and engineering productivity across the organization.
- Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks built on top of Google ADK, Anthropic SDKs, etc. and related tooling to enable intelligent, scalable platform automation.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
- Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).
- Demonstrated expertise in DevEx (Developer Experience) and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.).
- Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.
- Strong programming skills in Golang or Python, with a solid understanding of software development best practices.
- Proficiency with cloud infrastructure provisioning tools (Terraform, KRO, Crossplane, etc.).
- Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).
- Deep understanding of cloud infrastructure design, architecture, and migration strategies.
- Demonstrated proficiency with AI-assisted coding workflows, including experience with LLM-powered development tools, spec-driven development methodologies, and prompt engineering for software engineering use cases.
Preferred Qualifications, Capabilities, and Skills
- Master's degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code technologies.
- Experience implementing multi-cloud architectures and leading end-to-end platform development efforts.
- Background in designing and developing scalable AI/ML or Data platforms.
- Experience with automation and workflow orchestration for operational efficiency.
- Published contributions to open-source or industry-recognized projects.
- Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and standard agent orchestration tooling.
- Experience with enhancing AI-powered coding ecosystems with enterprise specific tooling to improve developer productivity and platform engineering workflows.
FEDERAL DEPOSIT INSURANCE ACT:
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.
Originally posted on Himalayas