Site Reliability Engineer III

JP Morgan Chase; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase, a leading financial services firm, seeks a Site Reliability Engineer III in Tampa within Payments Technology to build reliable, secure, low-latency payment platforms.

You will guide design, implement IaC and CI/CD, enhance observability with OpenTelemetry, Grafana, Splunk and Dynatrace, and apply AI-enabled insights to prevent incidents and sustain service levels.

Qualifications

• Formal training or certification in site reliability engineering concepts with 3+ years of applied experience.
• Familiarity with site reliability culture and implementing practices within an app or platform.
• Proficiency in Python, Java/Spring Boot, or .NET.
• Experience with observability practices, SLO alerting, and telemetry collection.
• Experience with CI/CD tooling.
• Knowledge of cloud, AI, or distributed systems within a technical discipline.
• Familiarity with containers, orchestration, and networking issues.
• Ability to validate AI-assisted operational recommendations and handle data sensitivity requirements.

Responsibilities

• Guide and assist teammates in building appropriate-level designs and adopt SRE best practices across the team.
• Collaborate with software engineers to design and implement deployment and reliability approaches via CI/CD pipelines.
• Implement infrastructure as code and ensure repeatability and auditability for payment platforms.
• Monitor Kafka-based data pipelines to maintain high availability and low latency in payments flows.
• Resolve complex problems with stakeholders and address issues before they impact customers using SLOs.
• Improve observability with OpenTelemetry, Grafana, Splunk, and Dynatrace to speed incident response and reliability outcomes.
• Apply enterprise AI capabilities to identify reliability risks and reduce toil, prioritizing reuse-first improvements.
• Validate AI-assisted recommendations before changes, ensuring data sensitivity compliance.
• Identify roadblocks and explore new technologies such as AI agentic models and MCP-based frameworks for reliability.

Skills

Site reliability concepts

SRE experience (3+ years)

Programming (Python/Java Spring Boot/.

Observability & monitoring

CI/CD tooling

Cloud / distributed systems

Containers & orchestration

AI capabilities validation

Tools

Kafka

OpenTelemetry

Grafana

Splunk

Dynatrace

Job description

There's nothing more exciting than being at the center of a rapidly growing field in technology and applying your skills to drive innovation and modernize the world's most complex and mission-critical systems. At JPMorganChase, you'll have the opportunity to work on platforms that move money globally — where reliability, security, and performance are not just goals, they are requirements.

As a Site Reliability Engineer III at JPMorganChase within the Commercial & Investment Bank — Payments Technology team, you will solve complex and broad business problems with simple, straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize highly available, low-latency payment processing platforms and their associated infrastructure. You are a significant contributor to your team, sharing your knowledge of end-to-end operations, availability, reliability, and scalability — and helping to raise the bar for the entire team.

Job responsibilities

• Guide and assist teammates in building appropriate-level designs, gaining peer consensus, and supporting the adoption of site reliability engineering best practices across the team
• Collaborate with software engineers and cross-functional teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
• Implement infrastructure, configuration, and network as code for payment processing applications and platforms, ensuring consistency, repeatability, and auditability
• Monitor and maintain Kafka-based data ingestion pipelines, supporting the reliability and throughput of high-availability, low-latency payment flows
• Collaborate with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers
• Implement and improve observability solutions — including OpenTelemetry, Grafana, Splunk, and Dynatrace — to drive transparency, faster incident response, and measurable service level objective outcomes
• Apply enterprise-authorized AI capabilities to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to service level objective outcomes
• Use enterprise-authorized AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data in accordance with security and sensitivity requirements
• Proactively identify roadblocks and drive improvements to solve business problems, including exploring new technologies such as AI agentic models and MCP-based frameworks where appropriate

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 3+ years applied experience
• Proficiency in site reliability culture and principles, with familiarity in how to implement site reliability 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 such as 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 a given technical discipline such as 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 and awareness of data sensitivity
• Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and adhering to data sensitivity requirements

Preferred qualifications, capabilities, and skills

• Experience supporting highly available, secure, and low-latency payment processing platforms in a financial services environment, including familiarity with fraud screening or payment flow patterns
• Hands-on experience with Kafka and event-driven data ingestion pipelines, and working knowledge of AI agentic models and MCP-based frameworks applied to reliability use cases
• Proficiency with observability tooling such as OpenTelemetry, Grafana, Splunk, or Dynatrace, with a track record of improving reliability through monitoring, incident response, and automation
• Experience implementing service level objective programs, performance testing, capacity planning, and resilience testing including fault injection, chaos engineering, and disaster recovery exercises
• Experience improving operational maturity through standardized runbooks, automated health checks, auto-remediation, and deployment guardrails
• Familiarity with database reliability patterns including capacity management, backup strategies, and failover readiness, as well as secure operational practices such as least privilege and secrets handling