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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer, Cloud Platform (DevEx & AI Platform Automation) - **Company:** JPMorgan Chase & Co. - **Location:** Palo Alto, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Code Generation, Computer Programming, Continuous Integration, Programming Tools, Github, Monitoring of Systems, Python (Programming Language), Open Source Technology, Systems Development Life Cycle, Prometheus, Software Engineering, Spinnaker, Systems Integration, Software Organization, Datadog, Data Logging, Cloud Platform System, Large Language Models, Grafana, Prompt Engineering, Multi-Cloud, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Data Analytics, Bitbucket, Data Management, Terraform, Splunk, Devsecops, Docker, Jenkins, Golang - **Published:** September 20, 2026 - **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210734693 ## About the Role * Formal training or certification on software engineering concepts and 10+ 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. ## Description As a Principal Software Engineer at JPMorgan Chase in the Chief Data and Analytics Office's Data Platforms division, you will lead the technical direction for cloud platform engineering. You will work with cross-functional teams to design, build, and operate innovative cloud platform solutions. You will help us deliver secure, scalable, and reliable platforms that support our AI/ML and data-driven initiatives. Your expertise will drive performance, efficiency, and a best-in-class developer experience across our engineering organization. You will also help advance our AI-assisted development practices, and efforts on Agentic/AIOps by leveraging modern AI coding tools and agent frameworks to accelerate engineering velocity and platform innovation at scale., * 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. ## Related Videos - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)