Site Reliability Engineer III

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Tampa, FL
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $172k
$121k $219k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $135,000–$209,820.

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 1243 open roles on FindRole.

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At a glance

TL;DR · Site Reliability Engineer III

As a Site Reliability Engineer III within the Commercial & Investment Bank Payments Technology team, you will solve complex business problems by configuring, maintaining, and optimizing highly available, low-latency payment processing platforms. You will build and implement infrastructure, configuration, and network as code while managing Kafka-based data ingestion pipelines. Your daily work involves collaborating with software engineers to develop automated continuous integration and continuous delivery pipelines and improving observability using OpenTelemetry, Grafana, Splunk, and Dynatrace. You will apply enterprise-authorized AI capabilities to identify reliability risks, accelerate incident triage, and explore AI agentic models. Required skills include proficiency in Python, Java/Spring Boot, or .NET, experience with container orchestration, and knowledge of distributed systems to ensure the reliability and scalability of global payment flows.

What does a Site Reliability Engineer earn?

Median $183600 from 124 postings across 31 companies.

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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 payment processing platforms.
  • Monitor and maintain Kafka-based data ingestion pipelines to support high-availability payment flows.
  • Implement and improve observability solutions using OpenTelemetry, Grafana, Splunk, and Dynatrace.
  • Use enterprise-authorized AI to identify reliability risks, accelerate incident triage, and perform post-incident analysis.
  • Resolve complex problems proactively using service level indicators and objectives before they impact customers.
  • Drive improvements to solve business problems by exploring new technologies like AI agentic models.

What we're looking for

  • Formal training or certification on site reliability engineering concepts and 3+ years of applied experience.
  • Proficiency in site reliability culture and principles, including implementing practices within an application or platform.
  • Proficiency in at least one programming language such as Python, Java/Spring Boot, or .NET.
  • Experience with observability practices including white and black box monitoring, service level objective alerting, and telemetry collection.
  • Experience with continuous integration and continuous delivery tooling.
  • Proficient knowledge of software applications and technical processes within cloud, AI, or distributed systems.
  • Familiarity with containers, container orchestration, and troubleshooting common networking technologies and issues.
  • Working knowledge of using enterprise-authorized AI capabilities to support site reliability engineering workflows with strong validation habits.

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