Senior Lead Software Engineer, Risk Technology Data Platform & Strategy

JPMorgan Chase

Quick summary

Work type
On-site
Location
Jersey City, NJ
Salary
$171,000–$260,000 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $216k
$154k most similar roles pay here $271k

This role pays more than 59% of similar roles. Most pay $177,250–$223,750 — the shaded band above. At the midpoint, this role pays about $216k versus about $200k 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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Lead Software Engineer, Risk Technology Data Platform & Strategy

As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Risk Technology team, you will lead the design and development of secure, high-quality production code for data-intensive applications while mentoring other engineers. You will collaborate with leaders and stakeholders across various teams to influence strategic decisions and foster an inclusive culture. Your daily tasks include hands-on work in designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platforms using modern programming languages like Java or Python, alongside databases such as Snowflake and Databricks. Additionally, you will leverage cloud-native technologies (AWS, Azure, GCP) and tools for microservices, Kafka, Redis, and observability solutions to process vast amounts of financial data efficiently. This role demands expertise in AI/ML, advanced data governance, and a deep understanding of the financial services industry's IT systems.

What you'll do

  • Lead the design and development of secure, high-quality production code for data-intensive applications.
  • Mentor other engineers and influence leaders across business, product, and technology teams.
  • Design, implement, test, and ensure operational stability of large-scale enterprise data platforms.
  • Develop and maintain code in a large corporate environment using modern programming languages.
  • Experience with large scale data processing technologies like Kafka, Redis, and Observability tools.
  • Possess advanced knowledge in cloud-native technologies such as AWS, Azure, or GCP.

What we're looking for

  • Lead the design and development of secure, high-quality production code for data-intensive applications.
  • Proficient in engineering and architecture with hands-on experience in AI/ML and large-scale enterprise data platforms.
  • Advanced knowledge in programming languages such as Java, Python, C/C++ and modern database technologies.
  • Experience in developing, debugging, and maintaining code in a large corporate environment using microservices and API design.
  • Practical cloud native experience on AWS, Azure, or GCP with expertise in observability tools like Dynatrace, Splunk, Grafana.
  • Knowledge of financial services industry IT systems and modern data technologies such as Databricks or Snowflake.

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