Site Reliability Engineer II

Join a dynamic team shaping the tech backbone of our operations, where your expertise fuels seamless system functionality and innovation.

As a Site Reliability Engineer II at JPMorgan Chase within the Commercial & Investment Bank- Payments Technology team, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. The Site Reliability Engineer is responsible for ensuring the reliability, availability, performance, and operational excellence of production services through observability, automation, incident management, resiliency engineering, and continuous improvement. The role partners closely with Engineering and Infrastructure teams to build scalable, self-healing, and highly resilient platforms.

Job responsibilities

- Execute small to medium-sized projects independently and progressively take ownership of designing and delivering solutions end-to-end.
- Leverage engineering best practices to develop scalable, maintainable, and resilient solutions that improve operational stability and efficiency.
- Analyze, troubleshoot, and resolve production incidents, driving root-cause identification and permanent corrective actions.
- Improve platform reliability, availability, and operational stability through proactive problem management and resiliency initiatives.
- Design, implement, and enhance observability capabilities, including monitoring, alerting, dashboards, telemetry, SLIs, and SLOs.
- Monitor production environments, identify anomalies and trends, and proactively address risks using standard observability and operational tooling.
- Eliminate operational toil through automation, self-healing solutions, process optimization, and reuse-first engineering practices.
- Support incident, problem, and change management processes across applications, infrastructure, and full-stack technology services.
- Partner with Engineering, Infrastructure, Product, and Operations teams to influence design decisions with a reliability-first mindset.
- Utilize enterprise-approved AI and agentic capabilities to accelerate incident triage, root-cause analysis, and remediation while adhering to data security and governance standards.
- Continuously improve service resilience, operational efficiency, and customer experience by driving automation, observability, and reliability engineering best practices.

Required qualifications, capabilities, and skills

- 3+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services
- Ability to code in at least one programming language
- Familiar with site reliability concepts, principles, and practices
- Familiar with observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
- Familiarity with containers or a common Server OS such as Linux and Windows
- Emerging knowledge of software, applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, etc.)
- Emerging knowledge of continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform
- Emerging knowledge of common networking technologies
- Ability to work in a large, collaborative team and demonstrates the willingness to vocalize ideas with peers and managers
- Understanding of how to prioritize and adjust work plans to adapt to changes in assigned responsibilities and projects
- Eagerness to participate in learning opportunities to enhance one’s effectiveness in executing day-to-day project activities
- Ability to demonstrate and apply existing and new system processes, methodologies, and skills to contribute to the development of systems
- Strong partnership skills with understand of escalation management across partner relationship
- Knowledge of applications or infrastructure in a large-scale technology environment on premises or public cloud

Preferred qualifications, capabilities, and skills

- Knowledge of one or more general purpose programming languages or automation scripting
- Desire to grow and learn in the AI space as the business grows
- Knowledge of Kubernetes, ITRS Active Console, Splunk, and Dynatrace
- Knowledge of the Payments Technology