Site Reliability Engineer III

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Employment: Full-time
Posted: 53 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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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

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As a Site Reliability Engineer III within the Commercial Investment Banking team of Fraud Prevention, you will manage the operational health of mission-critical platforms. You will configure, maintain, and optimize applications and infrastructure to ensure reliability, security, and performance. Your daily work involves owning production outcomes like availability and latency, defining SLIs and SLOs, and improving end-to-end observability. You will manage containerized workloads on Kubernetes and AWS services including EKS, ECS, Lambda, Dynamo DB, and S3. Key responsibilities include incident response, performing root cause analysis, and building infrastructure as code using Terraform. You will utilize Spinnaker, Harness, and scripting in Python, Bash, or Go to automate deployments. Additionally, you will apply enterprise-authorized AI capabilities to accelerate troubleshooting and identify patterns in operational signals.

What does a Site Reliability Engineer earn?

Median $180200 from 121 postings across 36 companies.

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Skills

Kubernetes AWS Terraform Python Bash Go EKS ECS Lambda Dynamo DB S3 Spinnaker Harness CI/CD Linux SRE Observability Infrastructure as Code Distributed Systems

What you'll do

Own day-to-day operational health for the platform, focusing on availability, latency, throughput, and error rates.
Define and evolve SLIs/SLOs and error budgets while building actionable alerting systems.
Improve end-to-end observability, dashboards, and runbooks across Kubernetes and AWS environments.
Lead incident triage, mitigation, and recovery while conducting root cause analysis to drive corrective actions.
Manage containerized workloads and serverless components on AWS, including EKS, ECS, and Lambda.
Build and maintain Terraform modules to ensure infrastructure as code and environment consistency.
Improve deployment safety and repeatability using CI/CD tools like Spinnaker and Harness.
Use enterprise-authorized AI to accelerate incident triage, troubleshooting, and pattern identification for reliability risks.

What we're looking for

Formal training or certification on software engineering concepts and 3+ years of applied experience.
Experience in SRE, DevOps, or production engineering.
Hands-on experience operating Kubernetes workloads, including deployments, scaling, and debugging.
Practical experience with AWS services such as EKS, ECS, Lambda, Dynamo DB, and S3 in production.
Experience with CI/CD and release tooling such as Spinnaker and/or Harness.
Proficiency with Terraform (IaC) and scripting/automation in Python, Bash, or Go.
Strong incident response skills, RCA writing, and ability to drive remediation work.
Solid fundamentals in Linux, networking, and troubleshooting distributed systems.
Working knowledge of using enterprise-authorized AI capabilities to support SRE workflows with strong validation habits.
Experience implementing SLO programs and alerting aligned to customer journeys (preferred).
Experience with performance testing, capacity planning, and resilience testing (preferred).
Experience improving operational maturity through standardized runbooks and automated health checks (preferred).
Experience with fraud screening/decisioning or payment flows (preferred).
Familiarity with database reliability patterns and secure operational practices (preferred).

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