CloudOps Engineer - Evinova
AstraZeneca is hiring a CloudOps Engineer - Evinova in Barcelona, Spain. Level rates it ; you can apply on AstraZeneca.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions AWS, Kubernetes and MongoDB among its tools and skills.
- Level classes it as a senior role.
- AstraZeneca has 1,300+ other open roles on Level.
- Posted within the past two weeks.
AI in this role
Senior CloudOps engineer driving SaaS platform infrastructure, reliability, and cost-optimization in healthtech.
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-2026Closing Date
30-oct-2026AstraZeneca 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.
How we rate this
CloudOps Engineer - Evinova at AstraZeneca rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used AWS hands-on?
- Walk me through how you've used Kubernetes in your day-to-day work.
- What are the limits of MongoDB that you've run into, and how did you work around them?
- What's a project where you used Rds hands-on?
- Walk me through how you've used Argo Cd in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AWS, Kubernetes, MongoDB, Rds, and Argo Cd. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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