Senior Lead AI/ML Platform Engineer & SRE

JPMorgan Chase; Jersey City (NJ); On-site; USD 176,000 - 260,000; Full time

Job summary

JPMorgan Chase in Jersey City, NJ seeks a Senior Lead Software Engineer to help build scalable AI/ML data platforms and mentor cross-functional teams. You will drive root cause analysis, production changes, and governance across the global JPMorgan Chase network.

The role emphasizes site reliability, observability, and AI-assisted tooling to improve code quality, delivery speed, and resiliency. Collaboration with various engineering teams is essential.

Qualifications

• Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform.
• Proficiency in running production incident calls and managing incident resolution.
• Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
• Strong understanding of SLI/SLO/SLA and Error Budgets
• Proficiency in Python or PySpark for AI/ML modeling.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Must be able to reduce toil by building new tools to automate repeated tasks.
• Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
• Understanding of network topologies, load balancing, and content delivery networks.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.

Responsibilities

• Expertise in application development and support with multiple technologies such as Databricks, Snowflake, AWS, Kubernetes, etc.
• Coordinate incident management coverage to ensure effective resolution of application issues.
• Collaborate with cross-functional teams to perform root cause analysis and implement production changes.
• Mentor and guide team members to foster innovation and strategic change.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Develop and support AI/ML solutions for troubleshooting and incident resolution.

Skills

Site reliability

Incident management

Observability

SLI/SLO/SLA

Python/PySpark

AI-assisted development tools

Automation

System design

Networking/CDNs

Responsible AI

Leadership/Mentoring

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

Job description

JPMorgan Chase in Jersey City, NJ seeks a Senior Lead Software Engineer to help build scalable AI/ML data platforms and mentor cross-functional teams. You will drive root cause analysis, production changes, and governance across the global JPMorgan Chase network.

The role emphasizes site reliability, observability, and AI-assisted tooling to improve code quality, delivery speed, and resiliency. Collaboration with various engineering teams is essential.