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Lead Software Engineer-AI Platform Engineer

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: JPMorganChase
Full Time position
Listed on 2026-03-01
Job specializations:
  • Software Development
    AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 optimise cloud resources to maximise performance and minimise 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, containerisation (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 Tensor Board.
  • 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/No

    SQL), and data modelling.
  • Familiarity with cloud data services, big data processing tools, and Linux environments (scripting and administration).
About Us

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today…

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