Software Engineer II Python

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
2 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $148k
$98k most similar roles pay here $205k

This listing doesn't post a salary. Most similar roles pay $125,712–$169,300.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Software Engineer II Python

As a Software Engineer II within the AI/ML Data Platforms team, you will join an agile group focused on designing, developing, and troubleshooting software components for state-of-the-art technology products. You will be responsible for writing secure, high-quality code, managing technical troubleshooting of complex systems, and analyzing large, diverse datasets to ensure stable application development. Your daily work involves utilizing the Software Development Life Cycle toolchain, including enterprise-authorized AI coding assist tools for refactoring and testing. The role requires proficiency in Python, database querying languages, and observability tools like Grafana, Dynatrace, Prometheus, Datadog, and Splunk. You will also manage technical requirements involving SLI/SLO/SLA metrics, Spark data pipelines, and containerization via Docker and Kubernetes. This position addresses the challenge of building scalable, secure systems within a large corporate environment while ensuring responsible AI integration.

What you'll do

  • Design, develop, and troubleshoot software components for secure and scalable products.
  • Write high-quality code using at least one programming language with limited guidance.
  • Utilize AI coding tools to improve code quality, refactoring, and unit test creation.
  • Integrate knowledge of the Software Development Life Cycle toolchain to enhance automation.
  • Analyze large, diverse datasets to identify problems and inform decision-making for application development.
  • Implement observability measures including monitoring, telemetry collection, and service level alerting.
  • Develop and maintain code within a large corporate environment using Python and database querying languages.

What we're looking for

  • Formal training or certification on software engineering concepts and 2+ years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Experience developing, debugging, and maintaining code in a large corporate environment using Python and database querying languages.
  • Experience in observability including white/black box monitoring, SLO alerting, and telemetry collection using tools like Grafana or Splunk.
  • Strong understanding of SLI/SLO/SLA and Error Budgets.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity and security expectations.
  • Experience across the full Software Development Life Cycle and exposure to agile methodologies like CI/CD.
  • Experience with Spark data pipelines, AWS/Databricks administration, and containerization (Docker, Kubernetes) are preferred.

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