DevOps Engineer – Cloud, Freelance

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• Architect, build, and continuously evolve the core M&O platform and services for observability and data quality. • Maintain and enhance the stability, availability, and performance of critical applications and data infrastructure using SRE principles. • Develop intelligent systems to detect, diagnose, and automate resolution of technical issues, bottlenecks, and anomalies. • Build capabilities to measure, monitor, and report data quality across supply chain pipelines and critical data sources. • Develop and manage unified dashboards using tools such as Grafana, Power BI, or Databricks. • Drive infrastructure automation through IaC, CI/CD pipelines, and Python and Shell scripting. • Integrate and optimize Fivetran, AKS, Kafka, Azure SQL Server, Databricks, and Flink in Azure. • Embed FinOps practices and reporting to monitor cloud utilization and spending. • Analyze incidents, performance trends, and data quality issues to drive continuous improvement. • Provide accurate, timely insights supporting business decisions and regulatory compliance for data integrity and auditability.

🎯 Requirements

• At least 4 years of experience in a similar position. • Hands-on experience with Microsoft Azure PaaS and IaaS services. • Experience designing, building, and maintaining Azure CI/CD pipelines using GitHub Actions. • Practical knowledge of administering Linux and Windows virtual machines. • Experience with Docker and Kubernetes containerisation and orchestration. • Ability to create and maintain automation scripts using Python, Bash, and PowerShell. • Experience with SonarQube for code quality and security analysis. • Hands-on experience with Terraform and Ansible for Infrastructure as Code. • Good understanding of networking principles and practices in cloud and hybrid environments. • Experience troubleshooting and resolving system integration issues. • Familiarity with Prometheus, Grafana, or comparable monitoring and observability stacks. • Strong analytical and problem-solving skills and ability to work collaboratively. • English at least B2.