Senior Lead Software Engineer- AI Platform engineer
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description Be an integral part of an agile team that's
constantly pushing the envelope to enhance, build, and deliver
top-notch technology products. As a Senior Lead Software Engineer
at JPMorgan Chase within the Corporate Sector, Infrastructure
Platforms team, you are an integral part of an agile team that
works to enhance, build, and deliver trusted market-leading
technology products in a secure, stable, and scalable way. Drive
significant business impact through your capabilities and
contributions, and apply deep technical expertise and
problem-solving methodologies to tackle a diverse array of
challenges that span multiple technologies and applications. Job
Responsibilities Provide technical guidance and direction to
support business objectives, collaborating with technical teams,
contractors, and vendors. Develop secure, high-quality production
code, and review and debug code written by others. Influence
product design, application functionality, and technical operations
through informed decision-making. Advocate for firmwide frameworks,
tools, and practices within the Software Development Life Cycle.
Promote a culture of diversity, equity, inclusion, and respect
within the team. Architect and deploy secure, scalable cloud
infrastructure platforms optimized for AI and machine learning
workloads. Collaborate with AI teams to translate computational
needs into infrastructure requirements. Monitor, manage, and
optimize cloud resources for performance and cost efficiency.
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 experience in system design,
application development, testing, and operational stability.
Proficiency in at least one programming language, such as Python,
Go, Java, or C#. Ability to independently tackle design and
functionality problems with minimal oversight. Background in
Computer Science, Computer Engineering, Mathematics, or a related
technical field. Strong knowledge of cloud computing delivery
models (IaaS, PaaS, SaaS) and deployment models (Public, Private,
Hybrid Cloud). 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, Bloomfield , Senior Lead Software Engineer- AI Platform engineer, IT / Software / Systems , Jersey City, New Jersey
