AstraZeneca

Build enterprise platform capabilities that make secure software delivery easier and more consistent through reusable GitHub Actions, Terraform modules, CI/CD patterns, and developer tooling. The role combines platform engineering, DevSecOps automation, and governance across a global engineering organization.

Build enterprise platform capabilities that make secure software delivery the default through reusable GitHub Actions, Terraform modules, DevSecOps automation, and developer tooling. This hands-on role will improve delivery across hundreds of engineers while shaping scalable golden paths and governance standards.

Senior AI Operations Engineer responsible for building and operating AstraZeneca’s AI/ML platforms with a strong focus on site reliability, observability, automation, and AI-augmented incident response. The role combines hands-on engineering with technical leadership and mentoring across a multi-tier operations team.

Build and maintain full-stack applications, integrations, dashboards, and cloud-based solutions that support a global, data-led healthcare enterprise. This role combines software delivery, data visualization, operational support, and responsible use of AI coding assistants.

CloudOps Engineer responsible for operating and improving a secure, reliable, and cost-efficient SaaS platform across AWS environments. The role combines cloud operations, CI/CD automation, database support, observability, incident response, and FinOps in a hybrid Barcelona setup.

Lead enterprise detection engineering for SIEM and security platforms, building high-fidelity detections that protect cloud, on-premises, and OT/ICS environments. The role combines security strategy, detection content ownership, platform optimization, automation, and purple-team validation.

Senior Orchestration Software Engineer responsible for building software that coordinates laboratory instruments, robots, and automated work cells into reliable, reusable workflows. The role combines workflow orchestration, controls integration, observability, and science-facing collaboration in pharmaceutical development and clinical supply.

Lead the translation of complex clinical workflows into safe, measurable AI systems, with an initial focus on agentic workflows for clinical operations. This hands-on role combines clinical discovery, Python prototyping, product ownership, evaluation, deployment, and enterprise-scale reuse.