Principal Software Engineer, Cloud Platform

JPMorgan Chase & Co.
Palo Alto, United States of America
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 285K

Job location

Palo Alto, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Computing Security
Cloud Engineering
Code Generation
Computer Programming
Continuous Integration
Programming Tools
Github
Monitoring of Systems
Python
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
Kubernetes
Infrastructure Automation Frameworks
Data Analytics
Bitbucket
Data Management
Terraform
Splunk
Devsecops
Docker
Jenkins
Go

Job 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.

Requirements

  • 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., * 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.

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process., Palo Alto,CA $204,250.00 - $285,000.00 / year; Jersey City,NJ $204,250.00 - $285,000.00 / year; Seattle,WA $204,250.00 - $285,000.00 / year

About the company

Join a forward-thinking team at JPMorganChase and help shape the future of cloud platform engineering. As a Principal Software Engineer, you'll play a critical role in building and optimizing the platforms that power our data and AI initiatives. You'll collaborate with talented engineers and stakeholders to deliver solutions that are secure, reliable, and scalable. This is your opportunity to influence technology strategy, drive operational excellence, and make a tangible impact across the organization. If you're passionate about cloud, automation, and enabling next-generation AI/ML capabilities, we want to hear from you., 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. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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