Senior Analytics DevOps & Platform Operations Lead

Biopharma Careers

Dublin

On-site

EUR 110,000 - 150,000

Full time

8 days ago

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Benefits offered by this job

Annual bonus
Pension contribution
Family health insurance
27 days annual leave
On-site gym access

Job summary

BMS is seeking a Sr Manager, Analytics Operations - DevOps in Dublin to lead DevOps capabilities for analytics, data, AI and ML platforms. You will drive CI/CD, GitOps, IaC, automated testing, and cost-efficient deployment.

The role covers cloud infrastructure, Kubernetes, monitoring, security, and governance for scalable enterprise analytics products. You'll collaborate with DataOps, MLOps and application support teams, manage partnerships across time zones, and guide teams to optimize

Qualifications

  • Bachelor's degree or higher in CS/IT/Engineering or related field.
  • 8+ years in DevOps, Cloud Engineering, Infrastructure/Platform Engineering.
  • Strong experience with AWS cloud services.
  • Expertise in CI/CD pipelines and deployment automation.
  • Experience with Kubernetes, Docker, and containerized architectures.
  • Experience with Infrastructure as Code using CloudFormation or similar.
  • Experience implementing monitoring/observability (Grafana, CloudWatch).
  • Strong scripting using Python, Bash, or PowerShell.
  • Experience supporting mission-critical production systems.

Responsibilities

  • Lead DevOps capabilities for analytics, data, AI, and ML platforms to enable reliable operations at scale.
  • Drive adoption of CI/CD, GitOps, IaC, and automated testing.

Skills

DevOps experience
AWS
CI/CD
Kubernetes
Docker
Infrastructure as Code
Observability
Python scripting
Production systems

Education

Bachelor's degree in CS/IT/Engineering

Tools

CloudFormation

Job description

BMS is seeking a Sr Manager, Analytics Operations - DevOps in Dublin to lead DevOps capabilities for analytics, data, AI and ML platforms. You will drive CI/CD, GitOps, IaC, automated testing, and cost-efficient deployment.

The role covers cloud infrastructure, Kubernetes, monitoring, security, and governance for scalable enterprise analytics products. You'll collaborate with DataOps, MLOps and application support teams, manage partnerships across time zones, and guide teams to optimize

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