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AstraZeneca

Senior Full-Stack Engineer - Evinova

AstraZeneca is hiring a Senior Full-Stack Engineer - Evinova in Barcelona, Spain. Level rates it ; you can apply on AstraZeneca.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 1,100+ other open roles at AstraZeneca.
  • The role was posted in the last few days.

AI in this role

Are you ready to engineer secure, reliable products that help get life-changing medicines to patients faster? Join us to build modern, cloud-native platforms that turn complex data into practical tools for scientists, clinicians, and operations teams.


You will be a technical leader who ships high-quality software and the pipelines that prove it. Working across the stack and the cloud, you will shape how teams design, test, deploy and observe systems that matter. How would you use your craft to shorten time-to-value while strengthening trust, compliance, and resilience?


Accountabilities

  • Product Engineering: Design, build, and operate full-stack web applications and RESTful APIs using React and TypeScript/Node.js or Python; make pragmatic architectural choices that improve maintainability, performance, and developer flow.
  • Cloud Architecture and IaC: Own infrastructure definitions in AWS CDK; design secure, scalable, multi-account/multi-region environments leveraging IAM, Lambda, ECS/Fargate or EKS, S3, CloudFront, API Gateway, and RDS/DynamoDB.
  • CI/CD Excellence: Create robust GitHub Actions workflows with reusable actions, environment promotions, approvals, canary strategies, and automated rollback to deliver stable, predictable releases.
  • Quality Engineering and BDD: Lead with tests as first-class artifacts; implement Cucumber (Gherkin) for BDD, Playwright for E2E/UI, and contract testing to drive clarity, coverage, and confidence across services.
  • GxP by Design: Embed traceability, validation, and documented changes into pipelines; generate audit-ready evidence automatically while maintaining delivery speed.
  • MCP-enabled Tool Orchestration: Design and integrate systems using Model Context Protocol patterns to orchestrate tools and automation safely and transparently.
  • Observability and SLOs: Instrument services, define actionable SLOs, and build Grafana dashboards and alerts; reduce incidents and MTTR through runbooks and continuous learning.
  • Security and Compliance: Integrate secrets management, SAST/DAST/SCA, SBOM generation, and policy-as-code guardrails to protect data and maintain trust.
  • Delivery Discipline: Maintain a healthy backlog and predictable sprints with clear acceptance criteria and transparent reporting in Jira; drive alignment and momentum across stakeholders.
  • Standards and Community: Contribute templates, golden paths, and internal portals; facilitate feedback forums and office hours; evolve SOPs and standards with measurable organization-wide adoption.
  • Continuous Improvement with AI and Digital Tools: Embrace and appropriately use AI-enabled practices to improve engineering outcomes, decision-making, and ways of working.

Essential Skills and Experience

  • Full-Stack Engineering: Proficiency with a modern frontend framework (e.g., React) and a backend language (e.g., TypeScript/Node.js or Python); RESTful API design and integration.
  • AWS and IaC: Hands-on experience with AWS CDK and core AWS services (IAM, Lambda, ECS/Fargate or EKS, S3, CloudFront, API Gateway, RDS/DynamoDB).
  • CI/CD: Strong experience building GitHub Actions workflows, reusable actions, and multi-environment promotion with approvals and rollback.
  • Testing and BDD: Practical experience with Cucumber (Gherkin), Playwright for E2E/UI, and contract testing; tests treated as first-class artifacts.
  • GxP Understanding: Working knowledge of GxP expectations (traceability, validation, documented changes) and producing audit-ready evidence through pipelines.
  • MCP Experience: Experience designing and integrating systems using MCP (Model Context Protocol) patterns for tool orchestration and automation.
  • Jira Discipline: Demonstrated use of Jira for backlog hygiene, sprint planning, and reporting with clear acceptance criteria.
  • Communication: Clear written and spoken English; ability to explain complex topics simply and drive consensus.

Desirable Skills

  • Performance/Observability: Experience with k6/Gatling/JMeter, profiling, and instrumentation; dashboards and alerts in Grafana.
  • Security and Compliance: Familiarity with secrets management, SAST/DAST/SCA, SBOM generation, and policy-as-code guardrails.
  • Developer Experience: Contributions to templates, golden paths, internal portals, and standards; experience facilitating feedback forums and office hours.

If you are ready to build the platforms and pipelines that move science into the real world, apply today and show us how you will raise the bar on quality, speed, and compliance!



Date Posted

02-nov-2026

Closing Date

30-nov-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.

How we rate this

Senior Full-Stack Engineer - Evinova at AstraZeneca rates 11 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

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