Chase · 4 months ago
Senior Lead Software Engineer- AI Platform engineer
575 Washington Blvd, Jersey City, NJ, 07310, US
Full-time
Onsite
Senior Level, Lead/Staff
$171K/yr - $260K/yr
5+ years expChase is one of the oldest financial institutions, offering innovative financial solutions to a wide range of clients. The Senior Lead Software Engineer will be part of an agile team responsible for enhancing, building, and delivering technology products, with a focus on developing secure, scalable cloud infrastructure platforms optimized for AI and machine learning workloads.
BankingFinancial 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
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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