Senior DevOps / Platform Engineer

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Requirements:

• 4+ years of experience in the DevOps field or as a Platform Engineer
• Proficiency in Python, Java, or Go programming languages
• In-depth knowledge of CI/CD tools and processes
• Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.
• Proficiency with technologies such as Terraform and Kubernetes

Responsibilities:

• 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.
• Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.
• Define and embed best practices into our internal processes to enhance the quality and consistency of our work
• Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies
• Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements
• Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials
• Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers
• Collaborate closely with partners such as Google to leverage their technologies effectively
• Guide team members, fostering a culture of growth and innovation
• Provide expert advice to customers on DevOps best practices
• Establish and enhance DevOps functions within clients’ organisations
• Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery