Lead Software Engineer-AI Platform Engineer

J.P. Morgan; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Lead Software Engineer to join their innovative Infrastructure Platforms team. In this pivotal role, you will leverage your expertise in software engineering to develop cutting-edge technology solutions that enhance operational stability and support business objectives. You will collaborate with diverse teams to drive the adoption of new technologies while ensuring the security and scalability of cloud infrastructure. This position offers a unique opportunity to work on exciting projects in AI and machine learning, making a significant impact on the organization’s technological landscape. If you're ready to take your career to the next level, this role is for you.

Qualifications

• 5+ years of experience in software engineering with strong design and development skills.
• Proficiency in automation and continuous delivery methods.
• Deep understanding of cloud architecture and machine learning concepts.

Responsibilities

• Develop secure, high-quality production code and lead technical troubleshooting.
• Collaborate with AI teams to translate computational needs into infrastructure requirements.
• Design and implement CI/CD pipelines for machine learning workloads.

Skills

Python

Golang

Automation

Continuous Delivery

Cloud Technologies

Machine Learning

Linux

Infrastructure as Code

Education

Formal training in Software Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Terraform

Ansible

Chef

Puppet

Prometheus

Grafana

Job description

Description

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 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.
• Hands-on 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).
• Hands-on 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, Ray.io, 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 JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.