Senior Lead Software Engineer Manager

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
62 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $196k
$123k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $170,069–$222,000.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1137 open roles on FindRole.

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At a glance

TL;DR · Senior Lead Software Engineer Manager

As a Senior Lead Software Engineer- Manager within the Enterprise technology AI/ML Data Platforms team, you will build scalable and resilient data solutions while managing and mentoring team members to drive strategic change. Your daily responsibilities include performing root cause analysis, coordinating incident management coverage, and developing AI/ML solutions for troubleshooting. You will drive the adoption of approved AI-assisted engineering practices to improve code quality and delivery speed across the software development life cycle. The role requires proficiency in Python, PySpark, Databricks, Snowflake, AWS, and Kubernetes. You must possess expertise in site reliability principles, observability tools like Grafana, Dynatrace, Prometheus, Datadog, and Splunk, as well as experience with system design, network topologies, and load balancing. You will ensure responsible AI usage while managing production changes and reducing toil through automation.

What you'll do

  • Build and support scalable AI/ML data solutions using technologies like Databricks, Snowflake, and AWS.
  • Drive the adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
  • Establish measurable validation standards for secure coding, peer review, and automated testing within the SDLC.
  • Manage production incident response, including root cause analysis and coordinating resolution efforts.
  • Develop tools to automate repetitive tasks and reduce operational toil.
  • Mentor team members on technical growth, innovation, and strategic change.
  • Ensure responsible AI usage by enforcing data sensitivity, security, and compliance standards in engineering workflows.

What we're looking for

  • Proficiency in Python or PySpark for AI/ML modeling.
  • Expertise in application development and support using Databricks, Snowflake, AWS, and Kubernetes.
  • Experience in site reliability engineering (SRE) principles, including SLI/SLO/SLA management and error budgets.
  • Experience with observability tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools for coding, testing, and troubleshooting.
  • Strong understanding of responsible AI usage, including data sensitivity, security, and compliant usage patterns.
  • Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery.
  • 10+ years of experience in an SRE or production support role with AWS Cloud, Databricks, or Snowflake is preferred.

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