Principal Cloud Platform Engineer - AI/ML
Company: JPMorgan Chase & Co.
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description At CDAO (Chief Data Analytics Office), we drive our
firm’s strategic investments in AI/ML and data-oriented tools and
capabilities. Our Platform Engineering team is at the forefront of
building innovative platforms, automating infrastructure
operations, and enabling Agentic-based AIOps platforms. Our mission
is to enhance scalability, security, and reliability for
CDAO-hosted managed services. As a Principal Software Engineer
(Cloud Platforms) within JPMorgan Chase, you will be responsible
for providing technical direction and collaborating with an agile
team to improve, develop, and deliver tools and platform products
in a secure, stable, and scalable manner. Your advanced technical
abilities and interpersonal skills will be utilized to work with
partners and stakeholders across the organization, promoting
top-tier results across various cloud tooling and platform
development initiatives. Your role will be pivotal in promoting
performance optimization and efficiency improvements across the
entire engineering organization by building, enhancing, and
operating platforms at scale. Job responsibilities : Provide
technical leadership and guidance to the cloud engineering team
Lead the design and development of the cloud infrastructure
offerings and platform tools, ensuring that they are secure,
scalable, and reliable Stay up-to-date with the latest advancements
in cloud technologies and bring in recommendations for adoption and
implementation of new tools/technologies Develop secure and
high-quality production code, perform code reviews and debug issues
Partner with development teams who create our customer experience
to identify and eliminate bottlenecks Analyze performance
characteristics of systems across our platform and improve
resiliency and security posture Gather insights and provide
actionable intelligence to optimize infrastructure usage and costs
Design and develop scalable AIOps solutions to support AI/ML and
Data Platforms Implement data pipelines and workflows to collect,
process, and analyze large volumes of platform data in real-time
Ensure the reliability, availability, and performance of the AIOps
platform through effective monitoring and maintenance Develop and
deploy agentic systems and agents to automate routine tasks and
processes, enhancing operational efficiency Required
qualifications, capabilities, and skills Bachelor’s degree in
Computer Science, Data Engineering, or a related field. Proven
experience in platform engineering, with a focus on AI/ML
technologies and IT operations Formal training or certification on
software engineering concepts and 7 years applied experience
Hands-on experience with one or more cloud computing platform
providers AWS/Azure/GCP Advanced knowledge of Containerization and
Container Runtime/Orchestration platforms (Docker/Kubernetes/ECS
etc.) Hands-on experience with Cloud Infrastructure Provisioning
Tools like Terraform, Pulumi, Crossplane etc. Proficiency with
programming languages like Golang/Python and understand software
development best practices Hands-on experience with CI/CD/SCM tools
like Jenkins, Spinnaker, Bitbucket / Github etc. and with logging
and monitoring tools Splunk, Grafana, Datadog, Prometheus etc. Deep
understanding of cloud infrastructure design, architecture and
cloud migration strategies Strong knowledge of cloud security best
practices, shift left methodologies and DevSecOps processes
Experience in designing and developing scalable AI platforms
Preferred qualifications, capabilities, and skills Master's degree
in a related field. Experience implementing multi-cloud
architectures Certifications in target areas (Cloud/Kubernetes/IaC
etc) Experience leading end-end platform development efforts
Keywords: JPMorgan Chase & Co., Union City , Principal Cloud Platform Engineer - AI/ML, IT / Software / Systems , Jersey City, New Jersey
