Senior Lead Software Engineer, Manager

JPMorgan Chase

Quick summary

Work type: On-site
Location: Jersey City, NJPalo Alto, CA
Salary: $171,000–$260,000 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k

This role $216k

$146k most similar roles pay here $272k

This role pays more than 74% of similar roles. Most pay $175,500–$220,850 — the shaded band above. At the midpoint, this role pays about $216k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

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 452 open roles on FindRole.

Listed pay typically runs $142,500–$205,000 across 231 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Lead Software Engineer, Manager

Role Posting Log in to save

As a Senior Lead Software Engineer at JPMorgan Chase within the Enterprise Technology AI/ML Data Platforms team, you will lead in developing scalable and resilient data solutions using technologies like Databricks, Snowflake, AWS, and Kubernetes. Your daily responsibilities include coordinating incident management, conducting root cause analysis, implementing production changes, mentoring team members, and developing AI/ML solutions for troubleshooting. You must be proficient in site reliability engineering principles, Python or PySpark for AI/ML modeling, and observability tools such as Grafana, Prometheus, and Datadog. Additionally, you should have hands-on experience with system design, resiliency, testing, and disaster recovery to ensure operational stability at enterprise scale.

Skills

AWS Kubernetes Databricks Snowflake Python PySpark Grafana Prometheus CI/CD SLO/SLI/SLA Terraform Observability Disaster_Recovery Network_Topologies Load_Balancing Content_Delivery_Networks

What you'll do

Manage and mentor team members to drive strategic change in AI/ML data solutions.
Coordinate incident management coverage for effective resolution of application issues.
Develop and support AI/ML solutions for troubleshooting and incident resolution.
Perform root cause analysis and implement production changes with cross-functional teams.
Build scalable, resilient data solutions using technologies like Databricks, Snowflake, AWS.

What we're looking for

Proficient in site reliability culture and principles, including SLI/SLO/SLA and error budgets.
Expertise in application development with technologies such as Databricks, Snowflake, AWS, Kubernetes.
Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery.
Strong observability skills using tools like Grafana, Dynatrace, Prometheus, Datadog, Splunk for monitoring.
Proficiency in Python or PySpark for AI/ML modeling and automation of repeated tasks.
Experience in managing production incidents and coordinating incident management coverage effectively.

Save