Digital Lab Cloud Engineer

Are you ready to harness the power of AWS and automation to accelerate scientific breakthroughs and bring medicines to patients faster Join a high-impact team that builds secure scalable cloud platforms enabling our labs and product teams to move from idea to value at speed.

In this role you will design and automate cloud infrastructure that underpins critical digital capabilities. Working side-by-side with engineers security specialists data teams and platform owners you will raise deployment velocity strengthen reliability and unlock developer productivity. You will use modern engineering tools improved by artificial intelligence responsibly to amplify your impact and keep our platforms robust and compliant. Can you see yourself turning complex requirements into resilient automated solutions that scale across a global enterprise

Cloud Infrastructure: Design implement and maintain AWS compute storage networking and identity services that deliver secure scalable foundations for digital and lab applications.

Build reusable Terraform CloudFormation and CDK modules to standardize environments reduce lead times and improve quality. Use AI-assisted tools to improve scripting and documentation while maintaining detailed reviews.

CI/CD and Automation: Create and evolve pipelines in GitHub Actions GitLab CI Jenkins or similar to automate build test security scanning and deployment driving consistent auditable releases.

Containers and Platform Support: Deploy and operate Docker-based services on EKS ECS or Fargate improving availability release consistency and operational efficiency for product teams.

Observability and Operations: Implement end-to-end tracking recording and alerting with CloudWatch Prometheus Grafana OpenTelemetry or OpenSearch; lead incident analysis and service improvement to reduce MTTR and prevent recurrence.

Security and Compliance: Embed identity and access controls data protection confidential information handling vulnerability remediation patching and network controls into every layer of the stack; ensure AI tools are used responsibly and in line with enterprise policies.

Networking: Configure and optimize VPCs subnets route tables NAT security groups load balancers and DNS with guidance from senior engineers supporting reliable connectivity and performance.

Migration and Modernization: Contribute to on-prem to AWS transition and projects focused on improving processes accelerating environment setup deployment automation testing and stabilization to de-risk cutovers.

AI-Enabled Engineering: Use enterprise-approved AI assistants to speed coding infrastructure automation troubleshooting and documentation; validate outputs and uphold standards to ensure accuracy and compliance.

Cost Optimization: Implement tagging monitor consumption identify waste and support rightsizing to reduce spend without sacrificing performance.

Documentation and Collaboration: Produce clear runbooks and implementation notes; engage developers architects security and operations to align on designs and drive continuous improvement.

Value and Impact Progression: Deliver quick wins by stabilizing and automating priority services; then scale patterns playbooks and modules across teams to raise reliability and throughput enterprise-wide.

• 47 years of experience in DevOps Cloud Engineering SRE Platform Engineering or Infrastructure Automation
• Hands-on experience working with AWS cloud services in development test or production environments
• Good knowledge of Infrastructure as Code using Terraform CloudFormation or AWS CDK
• Experience with CI/CD tools such as GitHub Actions GitLab CI Azure DevOps or Jenkins
• Hands-on experience with Docker and exposure to container orchestration platforms such as EKS ECS or Kubernetes
• Familiarity with AWS services such as EC2 S3 IAM VPC CloudWatch Lambda RDS Route 53 and Load Balancers
• Understanding of Linux administration scripting using Python Bash or Shell and version control using Git
• Knowledge of basic cloud security practices including IAM encryption secrets handling and vulnerability management
• Experience with monitoring logging and troubleshooting in cloud environments
• Practical experience using current AI tools in the market or AI-assisted engineering tools to improve productivity in coding scripting automation troubleshooting or documentation
• Ability to validate AI-generated outputs and use them responsibly in an engineering environment
• Good communication collaboration and documentation skills
  Desirable Skills/Experience:
• Experience supporting AWS migration or cloud transformation projects
• Exposure to EKS Kubernetes Helm ArgoCD or Flux
• Familiarity with serverless services such as Lambda EventBridge Step Functions or API Gateway
• Exposure to observability tools such as Prometheus Grafana ELK/OpenSearch or OpenTelemetry
• Understanding of policy-as-code security scanning or compliance tooling such as Checkov OPA Security Hub GuardDuty or Inspector
• Experience in regulated environments or teams with formal release and change management practices
• Familiarity with FinOps concepts such as tagging budgeting rightsizing and cost allocation
• Experience using tools such as GitHub Copilot Amazon Q ChatGPT Enterprise Claude Cursor or equivalent enterprise-approved AI tools
• Exposure to supporting data or AI/ML workloads on cloud platforms is a plus but not required
• At least one relevant certification is preferred such as: AWS Certified Solutions Architect Associate; AWS Certified Developer Associate; AWS Certified SysOps Administrator Associate; CKA/CKAD; HashiCorp Terraform Associate
  

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Here your engineering craft tangibly advances science. We pair technologists with scientists analysts and designers around the same table to spark new ideas and move fastusing modern cloud data and AI to solve real problems that affect patients worldwide. You will join a high-performing collaborative community that values kindness alongside ambition gives you the autonomy to take smart risks and backs you with the expertise and tools to turn prototypes into resilient compliant platforms. Your contribution will streamline how our enterprise operates today while building the digital foundations for tomorrows breakthroughs.

Ready to build cloud platforms that accelerate discovery and deliver impact at scalewhile stretching your skills on meaningful high-visibility work Apply to shape what science can do!

Date Posted

Closing Date

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.