Software Engineer II Python/Observation

JPMorgan Chase

Confirmed live 2 days ago Trusted

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $149k
$97k $204k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $119,500–$179,000.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Software Engineer II Python/Observation

As a Software Engineer II Python/Observation, you will join the AI/ML Data Platforms team to design, develop, and troubleshoot software components for secure and scalable technology products. Your daily responsibilities include writing high-quality code, performing technical troubleshooting, and analyzing large datasets to identify problems. You will manage the full Software Development Life Cycle, utilizing enterprise-authorized AI coding tools to improve productivity and code quality. Key technical requirements include proficiency in Python, database querying languages, and observability tools like Grafana, Dynatrace, Prometheus, Datadog, and Splunk. You must understand SLI/SLO/SLA concepts, error budgets, and responsible AI use. The role focuses on building stable applications by considering upstream and downstream system implications, with preferred experience in Spark data pipelines, AWS, Databricks, Docker, and Kubernetes.

What does a Software Engineer earn in New Jersey?

Median $161500 from 34 postings across 14 companies.

See salary data

What you'll do

  • Design, develop, and troubleshoot software components for secure and scalable technical products.
  • Write high-quality, secure code using at least one programming language with limited guidance.
  • Use enterprise-authorized AI coding tools to generate code, refactor, and create unit tests.
  • Validate AI-generated outputs through peer reviews, automated testing, and secure coding standards.
  • Analyze large, diverse datasets to identify problems and inform application development decisions.
  • Apply technical troubleshooting to break down and solve problems of basic complexity.
  • Manage the full Software Development Life Cycle using automation and CI/CD tools.
  • Monitor system performance using observability tools like Grafana, Dynatrace, or Splunk.

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 Python code in a large corporate environment.
  • Experience with one or more modern programming languages and database querying languages.
  • Experience in observability using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk.
  • Strong understanding of SLI/SLO/SLA and Error Budgets.
  • Understanding of responsible AI use, data sensitivity, and secure handling of inputs/outputs in engineering workflows.
  • Experience in Data pipelines using Spark (preferred).

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