Experteer Overview
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In this role you will lead AI-driven operations for AstraZeneca’s enterprise AI platforms, building and running observability and automation to improve running systems at scale. You will mentor L1/L2 SREs while hands-on delivering design and implementation across Azure and AWS environments. You’ll shape AI-augmented runbooks, incident analysis, and automated detection to reduce toil and accelerate platform readiness. This is a mission-driven opportunity to advance operational excellence in a data-led biopharma setting.
Compensaciones / Ventajas
• Design and maintain the central observability layer (Dashboards, alerts, telemetry) using Datadog, New Relic, Grafana or Splunk
• Architect and implement AI-augmented operations tooling (conversational runbooks, AI-driven incident analysis)
• Lead complex incident response with post-mortems and root-cause analysis
• Contribute instrumentation and patches to product engineering codebases for reliability
• Contribute to vendor evaluation of automation tooling and technologies
• Build and maintain automation that powers continuous improvement cycles and runbooks
• Own automation investments prioritized by frequency, resolution time, and blast radius




• Mentor L1 operators and junior L2 SREs to foster an engineering mindset in operations
• Shape platform operability during development with instrumentation and observability hooks
• Provide operational input to platform architecture reviews
• Collaborate with product teams on post-mortems and operational obligations
• Represent operational requirements in design discussions
• Prepare operational flywheel metrics (resolution rate, repeat incidents, automation coverage, toil)
Responsabilidades
• Significant hands-on SRE/platform operations experience at scale
• Strong expertise in observability tools and telemetry xqbhyrx pipelines
• Proven automation design reducing operational toil with Python and Bash
• Cloud infrastructure experience (Azure and/or AWS) with containers, serverless, managed services
• Experience with post-mortems and preventive engineering work
• Ability to instrument systems and implement precise, meaningful alerts
• Mentoring experience and teamwork across multi-tier support structures
• Experience with incident response and handover processes
• Familiarity with AI/ML in operations (desirable)
• Knowledge of ITIL, SRE or operational excellence frameworks (desirable)
Requisitos principales
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📌 Senior AI Operations Engineer (Barcelona)
🏢 AstraZeneca
📍 Barcelona