AI-Driven Lead Site Reliability Engineer

JPMorgan Chase & Co.; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Dublin is seeking a Lead Site Reliability Engineer in Infrastructure Platforms. You will be a code-first engineer designing automation, tooling, and observability to keep enterprise-scale platforms reliable and self-healing.

You will own services end-to-end, define SLIs/SLOs, lead incident response, reduce toil through automation, and work AI-native across the SDLC to accelerate delivery while upholding security and cost discipline.

Qualifications

• Solid production coding experience in industry-standard languages (Python, Go, Java, C++, Rust).
• Experience running production systems at scale including on-call ownership and incident response.
• Experience with SLI/SLO or willingness to own it.
• Observability depth: monitoring and telemetry tools (Grafana, Prometheus, Splunk, Datadog, Dynatrace).
• Unix/Linux proficiency and infrastructure automation tooling (Kubernetes, Terraform, CI/CD).
• Strong systems thinking: interfaces, contracts, failure modes at scale.
• Ability to steer AI tools for real engineering work with sound judgment.
• Security-first mindset across design to production.
• Clear, direct communication and calm ownership under pressure.
• Outcome orientation focused on reliability, impact, and cost.

Responsibilities

• Engineer reliability into enterprise-scale platforms by writing production software: automation, control loops, self-healing, and tooling that remove manual operations.
• Build systems around declarative, intent-based design: model the desired state as data in a trusted source of truth and let automation reconcile reality to it, rather than driving change through imperative, one-off scripts.
• Treat data as a first‑class reliability asset: instrument, collect, and reason over telemetry and state data to drive detection, diagnosis, and closed-loop remediation.
• Define and operationalize SLIs and SLOs with stakeholders; implement SLO-based alerting, telemetry standards, and actionable observability.
• Own services end-to-end, taking accountability for reliability, performance, security, and cost, and building operability and observability in from the start.
• Share an on‑call rotation and act as a technical leader during major incidents: drive triage, mitigation, communications, and blameless post‑incident reviews, then engineer the durable fix.
• Drive down toil measurably through automation and better engineering; treat repeated manual work as a bug to be coded out.
• Work AI‑native across the SDLC (AI-assisted development, code review, test generation, incident and root‑cause analysis) with clear validation standards (secure coding, peer review, automated testing).
• Decompose ambiguous reliability problems into clear, executable work for yourself and for AI agents, and integrate the results into coherent, production‑ready systems.
• Set reliability standards and raise the engineering bar across your team and partner organizations.
• Apply security and operational‑risk judgment throughout the engineering lifecycle.

Skills

Languages: Python/Go/Java/C++/Rust

On-call ownership

SLI/SLO

Observability

Unix/Linux

Kubernetes

Terraform

CI/CD

AI tooling

Security mindset

Clear communication

Cost focus

Tools

Grafana

Prometheus

Splunk

Datadog

Dynatrace

Job description

JPMorgan Chase & Co. in Dublin is seeking a Lead Site Reliability Engineer in Infrastructure Platforms. You will be a code-first engineer designing automation, tooling, and observability to keep enterprise-scale platforms reliable and self-healing.

You will own services end-to-end, define SLIs/SLOs, lead incident response, reduce toil through automation, and work AI-native across the SDLC to accelerate delivery while upholding security and cost discipline.