Cloud Technical Lead

A great client of mine are looking for a Cloud Engineer/Tech Lead to drive the design, implementation, and maintenance of Azure-hosted products that leverage machine learning output and processed IoT data. You’ll lead a newly formed team focused on delivering secure, scalable, and high-performing cloud solutions, while contributing to a collaborative and innovation-driven engineering culture.

Contract role

Duration: 6 months

Location: Dublin

Key Responsibilities:

• Lead the technical delivery and infrastructure design of cloud-based products on Microsoft Azure.
• Serve as the Tech Lead for a cross-functional engineering team.
• Mentor and guide junior engineers, fostering team growth and knowledge sharing.
• Collaborate with product, UI/UX, and architecture teams to design and implement new product features.
• Ensure high availability, performance, and security across cloud environments.
• Define and implement Infrastructure as Code (IaC) using tools like Terraform or Pulumi.
• Integrate backend and upstream dependencies in a microservices-based architecture.
• Stay updated with cloud trends and evaluate their impact on ongoing development.
• Troubleshoot and resolve complex technical issues.
• Promote best practices in cloud security, automation, and CI/CD.

Requirements:

• Proven experience in a Tech Lead or Senior Engineering role.
• Strong background in Azure, AWS or GCP.
• Hands-on development experience with Python, Java, and scripting (e.g., Bash, PowerShell).
• Experience building and scaling REST APIs and microservices.
• Familiarity with containerization tools like Docker and orchestration using Kubernetes.
• Knowledge of SQL and working with large data volumes.
• Experience implementing cloud security best practices.
• Solid understanding of CI/CD pipelines and tools like Jenkins, GitHub Actions, SonarQube, etc.
• Comfortable working in Agile environments and fast-paced teams.

Preferred Qualifications:

• Experience with big data technologies such as Databricks, Spark, or DBT.
• Knowledge of data pipelines and their fault tolerance requirements.
• Exposure to data warehousing and analytics environments.
• Strong communication and decision-making skills, with a drive for high customer satisfaction.