Senior Site Reliability Engineer — Cloud & AI-Driven Resilience

JPMorgan Chase & Co.

Dublin

On-site

EUR 90,000 - 130,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Dublin is seeking an experienced Site Reliability Engineer III to join the Infrastructure Data Platform.

You will contribute to reliability, availability, and scalability by improving end-to-end operations through code and cloud infrastructure. You will lead design discussions, implement CI/CD pipelines, and collaborate with software engineers to harden deployments using AI-assisted tooling while ensuring data sensitivity and security standards.

Qualifications

Formal training or certification on site reliability engineering concepts and advanced applied experience
Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivity
Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements, while ensuring compliance with risk controls and company-wide standards
Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI & etc.)
Hands-on experience supporting cloud and data platforms, including AWS (e.g., EC2, Athena) and Snowflake, with a reliability-first mindset
Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, AppDynamics, and others
Experience with continuous integration and continuous delivery tooling (e.g., Jenkins, GitLab, Terraform)
Familiarity with container and container orchestration and troubleshooting common networking technologies and issues (e.g., Docker, Kubernetes, ECS)

Responsibilities

Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate, supporting adoption of site reliability engineering best practices within your team
Collaborates with other software engineers and teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
Collaborates with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers
Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes.
Familiar with availability, reliability, scalability, and solutions in their applications and works with partners to improve these outcomes iteratively
Proactively recognizes road blocks and identifies improvements to solve business problems, including exploring new technologies where appropriate