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Lead Cloud DevOps Engineer

Luxoft

Location not specified Remote

Posted: February 6, 2026

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Quick Summary

Design, implement, and maintain automated CI/CD pipelines (GitHub Actions, Azure DevOps) for a pharmaceutical company in the pharmaceutical industry.

Job Description

Project description

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

Responsibilities

CI/CD Pipeline Ownership

Design, implement, and maintain automated CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline) to enable reliable and frequent deployments.

Cloud Infrastructure Management

Build and manage scalable and secure cloud environments in Azure and AWS using IaC (Terraform, CloudFormation, ARM/Bicep).

Environment Reliability & Monitoring

Implement monitoring, logging, alerting, and performance optimization using tools like CloudWatch, Azure Monitor, Grafana, Prometheus.

Automation & Configuration Management

Automate routine operational tasks using PowerShell, Bash, Python, Ansible, or similar; ensure consistent configuration across all environments.

Security, Compliance & Best Practices

Apply cloud security best practices (IAM, network controls, secrets management), ensure compliance with internal and industry standards, and support audit readiness.

Skills

Must have

Excellent communication skills

Experience with AWS services and cloud system design

Proficiency in Azure DevOps incl. project configurations, repositories, pipelines, and environments

Proficiency in Azure AD incl. apps registration, and authentication flows (OBO, Client Credentials)

Nice to have

AWS CDK, Azure DevOps (ADO) pipelines, and proficiency in Python

Familiarity with R and SAS is beneficial, particularly for data analysis and statistical modeling tasks

Experience in regulated environment (GxP)

Other

Languages

English: B2 Upper Intermediate

Seniority

Lead


Remote Spain, Spain

Req. VR-119555

DevOps

Cross Industry Solutions

05/02/2026

Req. VR-119555

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