Site Reliability Engineer II

JPMorgan Chase & Co. • Tampa, FL

19h

About The Position

As a Site Reliability Engineer II at JPMorganChase within the Commercial & Investment Bank Payments Technology team, you will help ensure the reliability, resilience, and performance of mission-critical payment processing platforms. You will apply software engineering practices and operational expertise to support systems that move money globally. You will work independently on small to medium projects while collaborating with cross-functional teams and developing knowledge of payment platforms, observability tooling, and AI-assisted operations.

The role focuses on improving reliability across payment processing and data ingestion workflows, supporting high-availability, low-latency services, strengthening observability, maintaining Kafka-based pipelines, and reducing operational toil. It also involves using enterprise-authorized AI capabilities and agentic models to support operational workflows and identify recurring reliability risks, while validating outputs and protecting security, resiliency, auditability, and sensitive data.

JPMorganChase describes a competitive total rewards package, with compensation based on role, experience, skill set, and location. Eligible employees may receive commission-based pay and/or discretionary incentive compensation. Benefits and programs are subject to eligibility and include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching. Further compensation and benefit details are provided during the hiring process.

Requirements

• Formal training or certification in site reliability engineering concepts and at least 2 years of applied experience.
• Ability to code in at least one programming language, write automation scripts, and contribute to reliability tooling.
• Experience maintaining cloud-based infrastructure, including deployment, scaling, and operational support.
• Familiarity with site reliability concepts, principles, and practices, including toil reduction and error budget management.
• Familiarity with observability practices such as white- and black-box monitoring, service level objective alerting, and telemetry collection.
• Familiarity with containers or a common operating system such as Linux or Windows.
• Emerging knowledge of continuous integration and continuous delivery practices and related tooling.
• Working knowledge of enterprise-authorized AI capabilities for site reliability engineering workflows, 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.

Nice To Haves

• Hands-on experience supporting highly available, low-latency payment processing platforms in a financial services environment.
• Experience working with Kafka and event-driven data ingestion pipelines in production environments.
• Proficiency with observability tooling such as OpenTelemetry, Grafana, Splunk, or Dynatrace.
• Working knowledge of AI agentic models and MCP-based frameworks applied to operational or reliability use cases.
• Familiarity with secure, regulated technology environments and the controls required to maintain auditability and compliance.

Responsibilities

• Execute small to medium reliability projects independently, progressing toward designing and delivering solutions end-to-end with minimal direction.
• Write high-quality, maintainable, robust code following software engineering best practices across payment processing and data ingestion workflows.
• Support high-availability, low-latency payment platforms through incident triage, diagnosis, and resolution, working with teams to address root causes.
• Implement and improve observability solutions, including service level indicators, service level objectives, and alerting, using tools such as OpenTelemetry, Grafana, Splunk, and Dynatrace.
• Monitor and maintain Kafka-based data ingestion pipelines, ensuring data integrity, throughput, and resilience across payment processing flows.
• Identify and eliminate toil through systems engineering, automation, and application code improvements, with a focus on measurable reliability outcomes.
• Apply enterprise-authorized AI capabilities to incident triage, troubleshooting, post-incident analysis, and runbook drafting; validate outputs and handle operational data according to security and sensitivity requirements.
• Use AI agentic models and MCP-based frameworks to identify recurring reliability risks from operational signals and prioritize improvements that drive measurable service level objective outcomes.

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed