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Senior Lead Software Engineer Manager - AI/ML Platforms

$61k - $101k
Full-time

J.P. Morgan

Salary: $61,000 - 101,000 per year Requirements:

  • Proficiency in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes.
  • Knowledge of site reliability engineering principles and how to apply them to an application or platform.
  • Experience leading production incident calls and coordinating incident resolution.
  • Experience with observability, including white- and black-box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk.
  • Strong understanding of SLIs, SLOs, SLAs, and error budgets.
  • Proficiency in Python or PySpark for AI/ML modeling.
  • Demonstrated experience using enterprise-authorized AI-assisted software development tools, with the ability to set expectations for validating outputs for correctness, performance, and security.
  • Ability to reduce toil by building tools that automate repetitive 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, secure handling of inputs and outputs, and security and resiliency expectations; experience coaching senior engineers or leads on compliant usage and controls.
  • Preferred: 10 or more years in an SRE or production support role involving AWS Cloud, Databricks, Snowflake, or similar technologies.
  • Preferred: AWS, Snowflake, or Databricks certifications.
  • Awareness of risk controls and compliance with departmental and company-wide standards.
  • Ability to collaborate with teams and build productive working relationships.
  • Employment is contingent on our review of criminal conviction history, including pretrial diversions or program entries, under Section 19 of the Federal Deposit Insurance Act.
Responsibilities:
  • Coordinate incident management coverage to support effective resolution of application issues.
  • Partner with cross-functional teams to investigate root causes and implement production changes.
  • Mentor and guide team members, supporting innovation and strategic change.
  • Promote adoption and governance of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, including code review, refactoring, test acceleration, release readiness, and incident analysis.
  • Establish measurable validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and encourage reuse of proven patterns and automation across the SDLC/TLM toolchain.
  • Apply software development lifecycle tools, including approved AI-assisted development and automation capabilities, to increase the value of automation at scale.
  • Develop and support AI/ML solutions for troubleshooting and incident resolution.
Technologies:
  • AI
  • AWS
  • Cloud
  • Databricks
  • Datadog
  • Dynatrace
  • Grafana
  • Incident Management
  • Support
  • Kubernetes
  • Load Balancing
  • Network
  • Prometheus
  • Python
  • PySpark
  • Security
  • Snowflake
  • Splunk
  • Marketing

More:

We are hiring a Senior Lead Software Engineer for JPMorgan Chases Enterprise Technology AI/ML Data Platforms team. In this role, you will help build scalable, resilient data solutions and contribute to root-cause analysis, production changes, budget considerations, staffing challenges, and team leadership. We are one of the oldest financial institutions, serving consumers, small businesses, and corporate, institutional, and government clients through our J.P. Morgan and Chase brands. Our Corporate Functions teams support the success of our businesses, clients, customers, and employees. We offer a competitive total rewards package, with compensation based on role, experience, skills, and location; eligible roles may also receive incentive compensation. Benefits vary by eligibility and include health care, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We are an equal opportunity employer, value diversity and inclusion, and provide reasonable accommodations for religious practices, beliefs, and disability-related needs.

last updated 42 week of 2026

Vacancy posted 1 day ago
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