DevOps Engineer

About the job

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

Your Mission

As a DevOps Engineer, you will play a key role in establishing, leading and enhancing DevOps practices within our clients' organisations.

We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.

What You’ll Do

- Pipeline Development: Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.

- Infrastructure as Code (IaC) Pipelines: Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.

- Technical Best Practices: Define and embed best practices into our internal processes to enhance the quality and consistency of our work

- Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies

- Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements

- Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials

- Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts,...