SRE Software Engineer III

JPMorgan Chase

Confirmed live 5 days ago High trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Employment: Full-time
Posted: 7 days ago
Freshness: Confirmed live 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $152k

$98k $189k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $128,188–$175,500.

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 1238 open roles on FindRole.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · SRE Software Engineer III

Role Posting Log in to save

As an SRE Software Engineer III within Corporate Technology, you will join a collaborative engineering team to build and operate resilient software solutions that enhance availability, scalability, and customer experience. Your daily responsibilities include designing automated continuous integration and continuous delivery pipelines, developing software to strengthen operational readiness, and troubleshooting complex multi-system problems. You will define service level indicators, advance observability practices, and reduce toil through automation. The role requires proficiency in Python, Java/Spring Boot, or .NET, alongside experience with Jenkins, GitLab, Terraform, Docker, Kubernetes, and Amazon Elastic Container Service. You will utilize telemetry tools like Grafana, Dynatrace, Prometheus, Datadog, and Splunk. Additionally, you will leverage enterprise-authorized AI coding assist tools to improve code quality and delivery speed within distributed systems.

Skills

Python Java Spring Boot .NET Kubernetes Docker Amazon Elastic Container Service Terraform Jenkins GitLab Grafana Prometheus Datadog Splunk Dynatrace infrastructure-as-code Observability Canary Deployments Feature Flags

What you'll do

Design and implement automated continuous integration and continuous delivery pipelines to improve release quality and speed.
Develop and deliver software solutions that strengthen the availability, reliability, and scalability of applications.
Troubleshoot and resolve complex, multi-system problems to restore service and prevent recurrence.
Define service level indicators and objectives to proactively identify risks and prioritize reliability improvements.
Advance observability practices by improving telemetry, dashboards, and alerting to shorten detection and recovery times.
Improve operational excellence through runbooks and automation to reduce toil and production risk.
Utilize enterprise-authorized AI coding tools to improve code quality, delivery speed, and productivity.

What we're looking for

Formal training or certification on software engineering concepts and 3+ years of applied experience.
Proficiency in site reliability culture and principles, including applying reliability practices within an application or platform.
Proficiency in at least one programming language such as Python, Java/Spring Boot, or .NET.
Experience building observability solutions using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk.
Experience with continuous integration and continuous delivery tools such as Jenkins, GitLab, or Terraform.
Familiarity with containers and orchestration technologies such as Docker, Kubernetes, or Amazon Elastic Container Service.
Working knowledge of diagnosing and troubleshooting common networking concepts and issues in distributed systems.
Working knowledge of using and validating enterprise-authorized AI-assisted software development tools for coding, testing, and documentation.

Save