Site Reliability Engineer III

JPMorgan Chase

Confirmed live today Low trust

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $178k
$129k $223k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,500–$214,000.

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 · Site Reliability Engineer III

As a Site Reliability Engineer III within the Asset and Wealth Management team, you will solve complex business problems by configuring, maintaining, and optimizing applications and their associated infrastructure. You will independently decompose and iteratively improve existing solutions through code and cloud infrastructure. Key responsibilities include designing deployment approaches using automated CI/CD pipelines, implementing infrastructure as code, and contributing to observability improvements like telemetry collection and service level objective alerting. You will participate in incident response, triage, and post-incident analysis while using enterprise-authorized AI capabilities to accelerate troubleshooting. Required skills include proficiency in Python or Bash, experience with Jenkins, GitLab CI, Ansible, Terraform, Docker, and Kubernetes, and familiarity with monitoring tools like Grafana, Dynatrace, Prometheus, Datadog, and Splunk to ensure platform reliability and scalability.

What does a Site Reliability Engineer earn?

Median $180200 from 121 postings across 36 companies.

See salary data

What you'll do

  • Design, develop, and implement deployment and reliability approaches using automated CI/CD pipelines.
  • Implement infrastructure, configuration, and network as code for assigned applications and platforms.
  • Improve observability through white and black box monitoring, telemetry collection, and SLO alerting.
  • Participate in incident response, triage, and post-incident analysis to document findings and remediation actions.
  • Automate the remediation of recurring issues to reduce toil and improve operational stability.
  • Use enterprise-authorized AI capabilities to accelerate incident triage and troubleshooting while ensuring data security.
  • Identify and resolve complex operational problems by proactively monitoring service level indicators and objectives.

What we're looking for

  • Formal training or certification on site reliability engineering concepts and 3+ years of applied experience.
  • Foundational understanding of SRE culture and principles, including Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
  • Working experience using industry-standard observability and monitoring tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, or CloudWatch.
  • Proficiency in at least one scripting or programming language such as Python or Bash for tool development and operational support.
  • Experience with incident and response management, including on-call participation and structured post-incident reviews.
  • Knowledge of CI/CD pipelines and best practices using tools such as Jenkins or GitLab CI.
  • Skills in automating repetitive tasks and managing configurations at scale using tools such as Ansible or Terraform.
  • Familiarity with container technologies and container orchestration such as Docker and Kubernetes.
  • Working knowledge of using enterprise-authorized AI capabilities to support SRE workflows with strong validation habits and data sensitivity awareness.
  • Experience operating in cloud environments (AWS and/or Azure) including understanding of resiliency, scalability, and observability patterns (preferred).
  • Familiarity with Kubernetes ingress, networking, and certificate deployment patterns (preferred).
  • Experience improving infrastructure-as-code patterns such as Terraform modules or reusable configurations (preferred).
  • Understanding of controls-focused operations in regulated environments, including change management discipline and audit support (preferred).
  • Experience with service mesh, load balancing, and DNS troubleshooting (preferred).
  • Strong communication skills with the ability to collaborate across different levels and stakeholder groups (preferred).

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