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 Commercial & Investment Bank Payments Technology team, youwill 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

Executes small to medium projects independently with initial direction and eventually graduates to designing and delivering projects by yourself
Leverages technology to solve business problems by writing high quality, maintainable, and robust code following best practices in software engineering
Participates in triaging, examining, diagnosing, and resolving incidents and work with others to solve problems at their root
Recognizes the toil within your role and proactively works towards eliminating it through either systems engineering or updating application code
Understands observability patterns and strives to implement and improve service level indicators, objectives monitoring, and alerting solutions for optimal transparency and analysis
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
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
Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform, including strong understanding of SLI/SLO/SLA and error budgets
Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Geneos, Prometheus, Datadog, Splunk, and others
Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.), including hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
Strong expertise in AWS services, including EC2, S3, RDS, VPC, IAM, and networking.
Proficient in at least one programming language such as Python, Java/Spring Boot for AI/ML modeling and automation to reduce operational toil by building tools for repeated tasks
Experience with continuous integration and continuous delivery tooling, along with experience running production incident calls and managing incident resolution in collaboration with cross-functional teams
Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform
Practical cloud experience in AWS supporting production services (visibility/troubleshooting, deployments, and operational hygiene) and strong debugging fundamentals across distributed systems (logs/metrics, latency analysis, dependency failures, data issues)
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

Preferred qualifications, capabilities, and skills

Experience with continuous integration and continuous delivery tooling
Experience applying AI-assisted tooling to reduce support toil
Familiarity with container and container orchestration and troubleshooting common networking technologies and issues
Ability toidentifynew technologiesand relevant solutions to ensure design constraints are met by the software team
Ability toinitiateand implement ideas to solve business problems