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Salary
≈ $48k – $103k per year (Estimated)
Location
In office (Barcelona)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 19, 2026. AstraZeneca scores A on the Alion truth index.

Overview
Company
Impact
Profile match
AstraZeneca is a British-Swedish pharmaceutical company formed in 1999 by the merger of Astra of Sweden and Zeneca of the United Kingdom, and now one of the largest drug makers in the world by revenue. Its portfolio is concentrated in oncology with Tagrisso, Imfinzi and Enhertu, alongside cardiovascular, renal and metabolic products including Farxiga, respiratory and immunology medicines, and a rare disease business built on the acquisition of Alexion. Headquartered in Cambridge in England and listed in London, Stockholm and New York, it reports in United States dollars.

Are you ready to shape the future of healthcare?

Evinova, a healthtech leader under the AstraZeneca Group, is transforming its SaaS platform infrastructure and operations alongside our global teams. We leverage cutting-edge technology, data, and AI to revolutionize life sciences and improve billions of lives globally.

As a Senior CloudOps Engineer, you will serve as a technical leader within our Platform Operations group-driving operational excellence across our global SaaS platform. You will own complex cloud operations, strengthen CI/CD reliability, lead cost-optimization initiatives, and provide deep expertise in AWS, Kubernetes (EKS), and database operations (MongoDB and/or RDS Aurora).

This role requires a strong operations mindset, the ability to diagnose and resolve complex issues, and the capability to influence engineering practices across teams. You will mentor junior engineers, lead automation efforts, and help shape the standards that ensure the platform is secure, reliable, and cost-efficient at scale.

Key Responsibilities

Cloud Operations & Reliability Ownership

  • Lead day-to-day operational support across AWS accounts (EC2, EKS, RDS, S3, VPC, IAM).
  • Own lifecycle management activities, including patching, scaling, performance tuning, and backup strategy.
  • Serve as an escalation point for major incidents; lead root-cause analysis and post-incident reviews.
  • Improve operational resilience through automation, standardization, and proactive monitoring.
  • Architect improvements to CI/CD pipelines (ArgoCD, GitHub Actions, Jenkins) to increase reliability and reduce deployment friction.
  • Drive automation of repetitive operational tasks using Python, Bash, or similar.
  • Partner with engineering teams to streamline environment provisioning and deployments.
  • Mentor CloudOps engineers on CI/CD patterns and operational guardrails.

FinOps Leadership & Cost Optimization

  • Lead cloud cost-efficiency initiatives across compute, storage, data services, and networking.
  • Analyze usage trends and guide right-sizing, modernization, and storage tiering strategies.
  • Partner with engineering and FinOps teams to forecast cloud spend and identify optimization opportunities.
  • Drive accountability by defining and tracking cost KPIs across services.

Database Engineering & Data Operations

  • Lead operational ownership of MongoDB and/or RDS Aurora (performance tuning, scaling, failover, backup/restore validation).
  • Diagnose and resolve complex database issues impacting availability or performance.
  • Guide application teams on efficient usage patterns for MongoDB/RDS Aurora.
  • Contribute to improvements in backup strategy, disaster recovery, and data resiliency.

Observability, Monitoring & Incident Management

  • Design and enhance monitoring, alerting, and dashboards (CloudWatch, Grafana, Splunk, OpenTelemetry). Build and maintain runbooks, SLOs, and operational playbooks.
  • Improve alert quality, signal-to-noise ratio, and overall response processes.
  • Champion observability adoption across teams to reduce MTTR and improve uptime

Security, Compliance & Operational Governance

  • Enforce strong IAM governance, least-privilege access, and secure operational patterns.
  • Lead patching, vulnerability remediation, and evidence collection for compliance (SOC 2, ISO 27001, HIPAA).
  • Partner with Security to maintain audit readiness and reduce operational risk.
  • Identify control gaps and contribute to continuous compliance automation.

Required Experience & Qualifications

  • 5-8+ years in CloudOps, DevOps, SRE, or infrastructure engineering roles.
  • Deep, hands-on experience operating AWS environments at scale (EC2, RDS, EKS, S3, CloudWatch).
  • Production-level expertise with MongoDB and/or RDS Aurora (operations, optimization, DR).
  • Strong automation and scripting capability (Python, Bash, or similar).
  • Hands-on experience supporting CI/CD pipelines and deployment platforms.
  • Strong troubleshooting and performance-tuning skills across cloud, networking, and application layers.
  • Experience with observability tooling (Datadog, CloudWatch, Grafana, Splunk, OpenTelemetry).
  • Ability to mentor junior engineers and lead operational improvements.

Desired Experience & Qualifications

  • Advanced Kubernetes operations experience (Amazon EKS; scaling, upgrades, troubleshooting).
  • Strong understanding of FinOps principles and AWS cost-management tooling.
  • Experience with additional data technologies (PostgreSQL, MySQL, Kafka).
  • Familiarity with regulated environments (HIPAA, GDPR, NIST, GxP).
  • Experience contributing to DR planning, failover testing, or reliability engineering programs.

Date Posted

19-oct-2026

Closing Date

30-oct-2026

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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