Site Reliability Engineer III

JPMorgan Chase & Co. • Tampa, FL

1d

About The Position

As a Site Reliability Engineer III at JPMorganChase within the Commercial & Investment Bank — Payments Technology team, you will address complex business problems through code and cloud infrastructure. You will configure, maintain, monitor, and optimize highly available, low-latency payment processing platforms and their associated infrastructure. You will contribute to end-to-end operations, availability, reliability, and scalability, share your knowledge, and help raise the bar for the team.

Requirements

• Formal training or certification in site reliability engineering concepts and at least 3 years of applied experience.
• Proficiency in site reliability culture and principles, including familiarity with implementing SRE 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, SLO alerting, and telemetry collection.
• Experience with continuous integration and continuous delivery tooling.
• Proficient knowledge of software applications and technical processes within a technical discipline such as cloud, AI, or distributed systems.
• Familiarity with containers, container orchestration, and troubleshooting common networking technologies and issues.
• Working knowledge of enterprise-authorized AI capabilities for SRE workflows, with strong validation habits and awareness of data sensitivity.
• Ability to validate AI-assisted operational recommendations before applying changes, escalate when uncertain, and adhere to data sensitivity requirements.

Nice To Haves

• Experience supporting highly available, secure, low-latency payment processing platforms in financial services, 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 for reliability use cases.
• Proficiency with observability tools such as OpenTelemetry, Grafana, Splunk, or Dynatrace, and a track record of improving reliability through monitoring, incident response, and automation.
• Experience implementing SLO 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 such as capacity management, backup strategies, and failover readiness, and secure operational practices such as least privilege and secrets handling.

Responsibilities

• Guide teammates in developing appropriate-level designs, building peer consensus, and adopting site reliability engineering best practices.
• Collaborate with software engineers and cross-functional teams to design, develop, test, and implement deployment and reliability approaches using automated CI/CD pipelines.
• Implement infrastructure, configuration, and network as code for payment processing applications and platforms to ensure consistency, repeatability, and auditability.
• Monitor and maintain Kafka-based data ingestion pipelines supporting reliable, high-throughput payment flows.
• Collaborate with technical experts, stakeholders, and teammates to resolve complex problems and address issues proactively using service level indicators and objectives.
• Implement and improve observability solutions, including OpenTelemetry, Grafana, Splunk, and Dynatrace, to improve transparency, incident response, and measurable SLO outcomes.
• Use enterprise-authorized AI capabilities to detect operational patterns that indicate reliability risks or recurring toil, prioritizing reusable improvements tied to SLO outcomes.
• Use enterprise-authorized AI capabilities to assist incident triage, troubleshooting, and post-incident analysis; validate outputs and handle operational data in accordance with security and sensitivity requirements.
• Identify roadblocks and drive improvements to solve business problems, exploring technologies such as AI agentic models and MCP-based frameworks where appropriate.

Benefits

• Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

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