Lead Software Engineer, AI Cloud Infrastructure

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 Chief Data and Analytics Office, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

• Architect solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast growing demands.
• Create the tooling and services needed to safely deploy and operate ML Models.
• Build monitoring and observability tools to track model performance, data quality, and system health
• Reduce operational toil by automating repetitive tasks and building self-healing systems and remediation workflows.
• Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems.
• Participates in on-call rotations and debug and solve issues in a production environment.
• Take full ownership of problems, develop solutions, and acquire new knowledge to complete the task.
• Mentor and guide junior engineers.

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages (Python, Go).
• Proficiency in automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle.
• Hands-on experience with Google Cloud platform (GCP).
• Strong proficiency with IaC tools (Terraform) and Google Cloud Client Libraries.
• Systematic problem-solving and troubleshooting skills in a complex system.
• Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.
• Self-managed, self-motivated with strong sense of ownership, urgency, and drive

• Prior experience in Google Vertex AI, AWS Bedrock, Azure OpenAI.
• Prior experience working in GPU scheduling, Model deployment or ML training workloads.
• Prior experience developing GenAI Apps, AI Agents, Vector Search, and RAG patterns.
• Extensive experience implementing advanced observability using tools like Open Telemetry, Dynatrace, Grafana, and/or cloud-native services.
• Multi cloud experience such as (AWS/Azure) is a plus