JPMorganChase · 8 hours ago
Senior Lead Software Engineer- AI Platform engineer
Jersey City, NJ
Full-time
Onsite
Senior Level, Lead/Staff
$171K/yr - $260K/yr
5+ years expJPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Senior Lead Software Engineer within the Corporate Sector, you will enhance and deliver technology products while driving significant business impact through technical expertise and collaboration.
Asset ManagementBankingFinancial Services
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
Qualification
Required
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
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
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)
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
10001+ employees
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Allison Beer
CEO of Card Services and Connected Commerce
Dan Mendelson
CEO, Morgan Health
Recent News
2025-12-19
2025-12-12
Company data provided by crunchbase