Lead Software Engineer-AI Platform Engineer
Company: JPMorganChase
Location: Seattle
Posted on: April 1, 2026
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Job Description:
Description We have an opportunity to impact your career and
provide an adventure where you can push the limits of what's
possible. As a Lead Software Engineer at JPMorgan Chase within the
Corporate Sector, specifically as a part of the Infrastructure
Platforms team, you will play a crucial role in an agile team
committed to enhancing, creating, and delivering high-quality
technology products in a secure, stable, and scalable manner. Your
role as a vital technical contributor will involve developing
critical technology solutions across numerous technical domains
within various business functions, all aimed at supporting the
firm's business goals. Job Responsibilities: Execute creative
software solutions, including design, development, and technical
troubleshooting, with the ability to think beyond conventional
approaches to build solutions or resolve technical problems.
Develop secure, high-quality production code, and review and debug
code written by others. Identify opportunities to eliminate or
automate the remediation of recurring issues to enhance the overall
operational stability of software applications and systems. Lead
evaluation sessions with external vendors, startups, and internal
teams to drive outcomes-oriented assessments of architectural
designs, technical credentials, and their applicability within
existing systems and information architecture. Lead communities of
practice across Software Engineering to promote awareness and
adoption of new and leading-edge technologies. Contribute to a team
culture of diversity, equity, inclusion, and respect. Develop and
deploy cloud infrastructure platforms that are secure, scalable,
and optimized for AI and machine learning workloads. Collaborate
with AI teams to understand computational needs and translate these
into infrastructure requirements. Monitor, manage, and optimize
cloud resources to maximize performance and minimize costs. Design
and implement continuous integration and delivery pipelines for
machine learning workloads. Develop automation scripts and
infrastructure as code to streamline deployment and management
tasks. Required Qualifications, Capabilities, and Skills: Formal
training or certification in software engineering concepts with 5
years of applied experience. Hands-on practical experience in
delivering system design, application development, testing, and
ensuring operational stability. Proficiency in at least one
programming language, such as Python, Go, Java, or C#. Proficiency
in automation and continuous delivery methods. Proficient in all
aspects of the Software Development Life Cycle. Demonstrated
proficiency in software applications and technical processes within
a technical discipline (e.g., cloud, artificial intelligence,
machine learning, mobile, etc.). Foundational understanding of
machine learning concepts, including transformer architecture, ML
training, and inference. Experience in solutions design and
engineering, containerization (Docker, Kubernetes), and cloud
service providers (AWS, Azure, GCP). Experience with Infrastructure
as Code. Deep understanding of cloud component architecture:
Microservices, Containers, IaaS, Storage, Security, and
routing/switching technologies. Preferred qualifications,
capabilities, and skills Foundational understanding of NVIDIA GPU
infrastructure software (e.g., DCGM, BCM, Triton Inference).
Hands-on experience with machine learning frameworks such as
PyTorch and TensorBoard. Proficiency with observability tools like
Prometheus and Grafana. Experience in ML Ops and related tooling,
including MLflow. Background in high performance computing and ML
frameworks (e.g., vLLM, Ray.io, Slurm). Strong knowledge of network
architecture, database programming (SQL/NoSQL), and data modeling.
Familiarity with cloud data services, big data processing tools,
and Linux environments (scripting and administration).
Keywords: JPMorganChase, Edmonds , Lead Software Engineer-AI Platform Engineer, IT / Software / Systems , Seattle, Washington
