Senior Cloud & AI Infrastructure Engineer

Testing Site - JPMC; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase in San Francisco seeks a Senior Lead Software Engineer to join the Corporate Sector, Infrastructure Platforms. Lead agile initiatives, drive secure, scalable cloud infrastructure for AI/ML workloads, and guide multi-technology teams to deliver trusted market-leading technology products.

The role emphasizes technical guidance, production-grade code, and collaboration with AI teams to translate computation needs into infrastructure requirements, while ensuring cost efficiency and

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Strong experience with Kubernetes and containerization (Docker), including cluster operations and production troubleshooting.
• 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.
• 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 with Infrastructure as Code.
• Deep understanding of cloud component architecture: Microservices, IaaS, Storage, Security, and routing/switching technologies.

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 firm wide 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.

Skills

Kubernetes & containers

Programming languages

Cloud computing

Infrastructure as Code

CI/CD

Problem solving

Tools

Docker

Prometheus

Grafana

MLflow

Job description

JPMorgan Chase in San Francisco seeks a Senior Lead Software Engineer to join the Corporate Sector, Infrastructure Platforms. Lead agile initiatives, drive secure, scalable cloud infrastructure for AI/ML workloads, and guide multi-technology teams to deliver trusted market-leading technology products.

The role emphasizes technical guidance, production-grade code, and collaboration with AI teams to translate computation needs into infrastructure requirements, while ensuring cost efficiency and