Join us to drive innovation in cloud application architecture and platform engineering. You will shape how enterprise applications are designed, built, and operated, making a direct impact on our technology landscape. We offer opportunities for career growth, hands-on technical leadership, and collaboration with talented teams. Your expertise will help us modernize platforms and empower developers. Experience a culture that values creativity, inclusivity, and technical excellence.
Job Summary:
As an Executive Director, Principal Software Engineer in Infrastructure Platform Cloud Foundations Applied Architecture at JPMorganChase, you will lead the design and delivery of scalable, resilient, and secure cloud-native applications and platforms on public cloud. You will define reference architectures, well-architected patterns, and platform standards, while remaining deeply hands-on across design and delivery. You will partner with architects, platform teams, and stakeholders to translate strategy into actionable technical roadmaps. Your role will include mentoring and coaching engineering talent, and applying generative and agentic AI to enhance workflows and productivity.
Job Responsibilities:
- Lead the design and delivery of cloud-native applications and platforms on public cloud (AWS/Azure/GCP)
- Define standards for and enable generative AI and agentic AI features for multi-cloud management, including intelligent automation
- Architect microservices, event-driven systems, APIs, and distributed cloud applications
- Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale, while defining guardrails for validation, security, resiliency, and reuse across teams.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Embed shift-left architecture controls, guardrails, and reusable patterns into workflows
- Drive operational excellence through monitoring, logging, tracing, and SRE practices
- Translate enterprise architecture principles into actionable platform capabilities
Partner with architects, engineering, product, risk, security, and business stakeholders
Required Qualifications, Capabilities, and Skills:
- Demonstrate deep, hands-on expertise in public cloud (AWS, Azure or GCP) cloud application architecture and platform engineering
- Apply best practices such as Well-Architected Frameworks across compute, storage, networking, serverless, containers, API Gateway, messaging, and data
- Build internal developer platforms, self-service capabilities, and reusable patterns
- Design distributed systems, event-driven architectures, REST/gRPC APIs, and resilient cloud applications
- Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
- Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.
- Proficient in modern programming languages (Python, Java, or Go) and cloud-native frameworks
- Embed architecture guidance, governance controls, and policy-as-code into workflows
- Drive observability, operational excellence, and cost optimization
- Lead teams and set architecture direction as a credible technical authority
- Apply generative and agentic AI to engineering workflows, including prompt engineering, RAG, LLM orchestration, and AI-assisted developer tooling
- Advanced fluency and proficiency with AI coding assistants (e.g. Claude Code) and Agentic Runtime environments (e.g. Agent Runtime / AgentCore / Agent Service)
Preferred Qualifications, Capabilities, and Skills:
- Experience across at least two of the major public cloud service providers, including distributed systems at scale
- Implement cloud security guardrails and ensure enterprise data privacy
- Architecture experience in financial services or highly regulated environments
- Familiarity with structured engineering models e.g Spec-Drive & Test-Driven Development
- Open agentic frameworks, including building custom MCP servers or tools
Skills Required
- Deep, hands-on expertise in public cloud application architecture and platform engineering using AWS, Azure, or GCP
- Experience applying Well-Architected Framework practices across compute, storage, networking, serverless, containers, API Gateway, messaging, and data
- Experience building internal developer platforms, self-service capabilities, and reusable patterns
- Experience designing distributed systems, event-driven architectures, REST or gRPC APIs, and resilient cloud applications
- Experience designing and leading adoption of agentic AI-enabled development practices across teams
- Knowledge of human-in-the-loop validation, auditability, traceability, secure sensitive-data handling, and responsible AI controls
- Ability to influence senior technical leaders on secure scaling patterns and reuse
- Proficiency in Python, Java, or Go and cloud-native frameworks
- Experience embedding architecture guidance, governance controls, and policy-as-code into workflows
- Experience driving observability, operational excellence, and cost optimization
- Experience leading teams and setting architecture direction as a technical authority
- Experience applying generative and agentic AI to engineering workflows, including prompt engineering, RAG, LLM orchestration, and AI-assisted developer tooling
- Advanced fluency with AI coding assistants such as Claude Code and agentic runtime environments such as Agent Runtime, AgentCore, or Agent Service
- Experience with at least two major public cloud providers and distributed systems at scale
- Experience implementing cloud security guardrails and enterprise data privacy
- Architecture experience in financial services or highly regulated environments
- Familiarity with Spec-Driven Development and Test-Driven Development
- Experience with open agentic frameworks, custom MCP servers, or custom agentic tools
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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