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In this role you drive enterprise AI platform operations at AstraZeneca, leading hands-on SRE activities and mentoring a team to deliver reliable, AI-enabled observability and automation. You will shape the platform estate on Azure and AWS, building AI-powered runbooks, incident analysis, and robust telemetry. You join a mission-driven company turning scientific ideas into life-changing medicines, with a culture that values collaboration, learning, and engineering excellence.

Compensaciones / Beneficios

- Design, build, and maintain a central observability layer with dashboards, alerts, and telemetry pipelines (Datadog, New Relic, Grafana, Splunk)
- Architect and implement AI-augmented operations tooling (conversational runbooks, AI-driven incident analysis)
- Lead complex incident response, perform root-cause analysis, and produce post-mortems
- Contribute patches and instrumentation to product engineering codebases for root-cause remediation
- Contribute to vendor evaluations for suitable technologies and automation tooling
- Build and maintain automation powering the continuous improvement cycle; translate incidents into runbooks, automation, or patches




- Implement the Operational Readiness Gate and shape operability during development
- Mentor L1/L2 engineers and drive a culture of engineering-minded operations
- Collaborate with product engineering on post-mortems, handovers, and operational requirements
- Provide operational input to platform architecture reviews and communicate risks clearly

Responsabilidades

- BSc/MSc degree in Computer Science or related field
- Hands-on experience as an SRE or platform operations engineer at scale
- Strong expertise in observability platforms (Datadog, New Relic, Grafana, Splunk)
- Knowledge of OpenTelemetry, distributed tracing, and xugodme structured logging
- Proven automation design reducing toil; proficient in Python and Bash
- Cloud infrastructure experience (Azure and/or AWS); container orchestration, serverless, managed services
- Experience with post-mortems and translating findings into preventive engineering work
- Ability to mentor junior engineers and contribute to team development

Requisitos principales

- in-person collaboration three days per week
- flexible work arrangements
- inclusive and diverse culture
- commitment to lifelong learning and development
- opportunity to work with cutting-edge AI/ML platforms

📌 Senior AI Operations Engineer (Barcelona)
🏢 AstraZeneca
📍 Barcelona