drjobs Lead Software Engineer-AI Platform Engineer

Lead Software Engineer-AI Platform Engineer

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1 Vacancy
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Job Location drjobs

Palo Alto, CA - USA

Monthly Salary drjobs

$ 152000 - 215000

Vacancy

1 Vacancy

Job Description

Description
Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats 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 highquality 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 firms 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 highquality 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 outcomesoriented 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 leadingedge 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.
  • Handson practical experience in delivering system design application development testing and ensuring operational stability.
  • Advanced proficiency in one or more programming languages such as Python and/or Golang.
  • 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.).
  • Proficiency in Linux environments including scripting and administration.
  • 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 (Terraform CloudFormation) and automation tools (Ansible Chef Puppet).
  • 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. NVIDIA DCGM BCM Triton Inference).
  • Handson experience with ML frameworks such as PyTorch TensorBoard.
  • Experience with observability tools like Prometheus Grafana.
  • Experience in ML Ops and associated tooling like MLflow.
  • Experience with High Performance Computing and Machine Learning frameworks such as vLLM Slurm.
  • Strong background in network architecture database programming (SQL/NoSQL) and data modeling.
  • Familiarity with cloud data services and big data processing tools.

FEDERAL DEPOSIT INSURANCE ACT:

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorganChases review of criminal conviction history including pretrial diversions or program entries.



Employment Type

Full-Time

Company Industry

About Company

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