Lead Software Engineer-AI Platform Engineer

JPMorgan Chase; Palo Alto (CA); On-site; USD 152,000 - 215,000; Full time

Job summary

Join a forward-thinking company as a Lead Software Engineer, where you will be at the forefront of technology innovation. In this role, you will develop and deploy secure cloud infrastructure platforms optimized for AI and machine learning workloads. Collaborate with diverse teams to create high-quality software solutions while promoting a culture of inclusivity and respect. This position offers a unique opportunity to influence critical technology solutions that support the firm's business goals. If you are passionate about technology and eager to make a significant impact, this role is perfect for you.

Qualifications

• 5+ years of experience in software engineering with a focus on system design.
• Proficiency in programming languages like Python and Golang.
• Experience with cloud technologies and automation tools.

Responsibilities

• Develop secure, high-quality production code and troubleshoot issues.
• Lead evaluation sessions with vendors and internal teams.
• Design and implement CI/CD pipelines for machine learning workloads.

Skills

Python

Golang

Cloud Infrastructure

Machine Learning

Automation

CI/CD

Linux Administration

Docker

Kubernetes

Infrastructure as Code

Education

Formal training in software engineering

Tools

Terraform

CloudFormation

Ansible

Chef

Puppet

Prometheus

Grafana

Job 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 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 various domains within different business functions, all aimed at supporting the firm's business goals.

Job Responsibilities:

1. Execute creative software solutions, including design, development, and troubleshooting, with the ability to think beyond conventional approaches to build solutions or resolve technical problems.
2. Develop secure, high-quality production code, and review and debug code written by others.
3. Identify opportunities to eliminate or automate the remediation of recurring issues to enhance operational stability.
4. Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials, ensuring their applicability within existing systems.
5. Lead communities of practice across Software Engineering to promote awareness and adoption of new technologies.
6. Contribute to a team culture of diversity, equity, inclusion, and respect.
7. Develop and deploy cloud infrastructure platforms that are secure, scalable, and optimized for AI and machine learning workloads.
8. Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.
9. Monitor, manage, and optimize cloud resources for performance and cost-efficiency.
10. Design and implement CI/CD pipelines for machine learning workloads.
11. 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 with 5+ years of experience.
• Practical experience in system design, application development, testing, and operational stability.
• Proficiency in programming languages such as Python and/or Golang.
• Experience with automation and continuous delivery.
• Understanding of the Software Development Life Cycle.
• Experience in cloud, AI, ML, mobile, or related technical disciplines.
• Proficiency in Linux environments, scripting, and administration.
• Basic understanding of machine learning concepts, including transformer architectures, training, and inference.
• Experience with solutions design, containerization (Docker, Kubernetes), and cloud providers (AWS, Azure, GCP).
• Experience with Infrastructure as Code (Terraform, CloudFormation) and automation tools (Ansible, Chef, Puppet).
• Deep understanding of cloud architectures: Microservices, Containers, IaaS, Storage, Security, Networking.

Preferred Qualifications:

• Understanding of NVIDIA GPU Infrastructure software (e.g., DCGM, BCM, Triton Inference).
• Experience with ML frameworks like PyTorch, TensorBoard.
• Experience with observability tools such as Prometheus, Grafana.
• Experience with ML Ops tools like MLflow.
• Experience with High Performance Computing and frameworks like 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.

Additional Information:

This position is subject to Section 19 of the Federal Deposit Insurance Act, contingent upon review of criminal history.

JPMorgan Chase offers a competitive rewards package, including salary, benefits, and various employee programs. We are committed to diversity and equal opportunity in employment.

Salary Range:

San Francisco, CA: $152,000 - $215,000/year; Palo Alto, CA: $152,000 - $215,000/year