Site Reliability Engineer II

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in Tampa seeks a Site Reliability Engineer II to help build reliable payments technology platforms within the Corporate and Investment Bank.

You will own incident management, implement robust observability, and work with cross-functional teams to meet SLOs/SLIs. You will apply AI capabilities to speed diagnostics, participate in RCA, and ensure secure, resilient production services across on‑prem and cloud environments.

Qualifications

• Requires formal software engineering training and 2+ years of applied experience.
• Ability to validate AI-assisted operational recommendations for resiliency and security.
• Experience across on‑premises and public cloud with core networking knowledge.
• Hands-on observability: production monitoring, traces, logs using Dynatrace, Geneos, Splunk.

Responsibilities

• Deliver end-to-end service delivery to enable reliable business operations.
• Define and maintain SLOs/SLIs and error budgets for production services.
• Use enterprise AI capabilities for incident triage, troubleshooting, and post-incident analysis.
• Own incident, problem (RCA), and change/event management processes.
• Monitor environments and implement alerting to minimize downtime.
• Design Dynatrace instrumentation for performance and user experience insights.
• Identify toil and reliability risks and prioritize reusable improvements.

Skills

Java & Spring Boot

Observability & monitoring

Docker & Kubernetes

CI/CD pipelines

Python scripting

AI in operations

Node.js scripting

SQL & Oracle

Tools

Dynatrace

Geneos

Splunk

Jenkins

Oracle

Liquibase

Job description

Play a key role in ensuring system reliability at one of the world’s most iconic and largest financial institutions.

As a Site Reliability Engineer II at JPMorgan Chase within the Corporate and Investment Bank, Payments Technology Team, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you’ll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chase’s business and relevant technologies.

Job Responsibilities

• Deliver end-to-end application and/or infrastructure service delivery to enable reliable business operations across the firm.
• Partner with cross-functional teams to define and maintain SLOs/SLIs and error budgets for key production services, proactively resolving issues before customer impact.
• Uses enterprise-authorized AI capabilities within the work environment to speed up incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
• Own day-to-day operational processes including incident management, problem management (RCA), and change/event management (monitoring and alerting).
• Monitor production environments for anomalies using standard observability tools; build and maintain alerting mechanisms to detect incidents early and minimize downtime.
• Design and implement Dynatrace instrumentation to monitor performance, infrastructure health, and user experience; analyze trends, elevate/communicate as needed, and provide solutions to business and technology stakeholders.
• Applies enterprise-authorized AI capabilities within the work environment to identify recurring toil and reliability risks from operational signals, prioritizing reuse-first improvements and measurable SLO outcomes.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience (NAMR/APAC – India/ LATAM/ Hong Kong)
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows (e.g., troubleshooting support and runbook drafting) with strong validation habits and awareness of data sensitivity.
• Ability to assess AI-assisted operational recommendations for correctness and risk, and apply appropriate controls to maintain resiliency, security, and auditability.
• Large-scale application/infrastructure experience across on‑prem and public cloud environments, including strong understanding of core networking (DNS, TCP/IP, VPN, load balancing).
• Hands-on observability expertise: production monitoring, distributed tracing, log analysis, and instrumentation using tools like Dynatrace, Geneos, and Splunk plus application logging frameworks.
• Strong microservices engineering with Java and Spring Boot, including event-driven patterns using Apache Kafka.
• Solid data layer skills: Oracle databases, GemFire/Geode distributed caching, Liquibase migrations, and strong SQL/database management experience.
• DevOps and delivery proficiency: Jenkins-based CI/CD, Docker, Kubernetes, and modern automation practices for build, test, deploy, and release.
• Scripting capability for automation and ops tasks across Python, Bash/PowerShell, plus Node.js scripting experience.

Preferred qualifications, capabilities, and skills

• Experience with one or more general-purpose programming languages and/or automation scripting.
• Experience working in banking and payment domains such as: Client Liquidity, High and low value payment and SWIFT.
• Collaborate well and possess the ability to foster relationships effectively with diverse groups across geographies.
• Ability to multi-task, handling complex requirements and is adaptable.