Software Engineer II, Observability Engineering

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Columbus, OH
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $148k

$98k $205k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $125,825–$169,630.

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 1219 open roles on FindRole.

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At a glance

TL;DR · Software Engineer II, Observability Engineering

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As a Software Engineer II - Observability Engineering within Asset & Wealth Management Technology, you will join an agile team focused on designing and delivering monitoring and observability solutions. You will execute software solutions through the design, development, and technical troubleshooting of multiple components to ensure high-quality telemetry and operational resilience. Your daily responsibilities include configuring monitoring, alerting, and event management while standardizing telemetry such as metrics, logs, traces, and events. You will build and run solutions across cloud and on-premises environments to improve visibility into system health and business transactions. Required skills include experience with Python, Java, JavaScript, or Go, alongside platforms like Dynatrace, Splunk, Grafana, and Datadog. You will also utilize enterprise-authorized AI coding tools to improve code quality and delivery speed.

What does a Software Engineer earn?

Median $196750 from 2601 postings across 154 companies.

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Skills

Observability Monitoring Telemetry Python Java JavaScript Go Dynatrace Splunk Grafana Datadog CI/CD Infrastructure as Code Agile Distributed Systems Metrics Logs Traces Automation

What you'll do

Design, develop, and troubleshoot software components for monitoring and observability solutions.
Configure and optimize monitoring, alerting, and event management systems to reduce alert noise.
Instrument services to standardize telemetry including metrics, logs, traces, and events.
Build and run observability solutions across cloud and on-premises environments.
Deliver operational insights through dashboards, visualizations, and performance analysis.
Write secure, high-quality code using modern programming languages with limited guidance.
Leverage AI-assisted coding tools to improve code quality, delivery speed, and productivity.
Automate observability-as-code and integrations to enable self-service for engineering teams.

What we're looking for

Formal training or certification on software engineering concepts and 2+ years of applied experience.
Experience in Platform Engineering, DevOps, Monitoring, or Observability-related roles.
Experience developing, debugging, and maintaining code in a large corporate environment using Python, Java, JavaScript, Go, or similar.
Experience with one or more observability or monitoring platforms including Dynatrace, Splunk, Grafana, and/or Datadog.
Experience working with telemetry concepts including metrics, logs, traces, and alerting.
Knowledge of cloud platforms, distributed systems, and modern application architectures.
Hands-on experience using enterprise-authorized AI-assisted software development tools and understanding of responsible AI use.
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security.
Knowledge of monitoring standards, telemetry governance, and observability frameworks (preferred).
Experience with automation, Infrastructure as Code, or platform engineering practices (preferred).
Exposure to AI-assisted analytics, anomaly detection, or operational intelligence capabilities (preferred).
Experience building dashboards, observability reports, and operational analytics solutions (preferred).

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