DevOps Engineer improving CI/CD pipelines and best practices for Datatonic's AI and data projects. Collaborate with clients to enhance infrastructure and drive innovation in tech.
Responsibilities
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, data analysts, architects and data engineers
Tech Partner Collaboration: Collaborate closely with partners such as Google to leverage their technologies effectively
Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation
Best Practices Advisory: Provide expert advice to customers on DevOps best practices
Function Optimisation: Establish and enhance DevOps functions within clients’ organisations
Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery
Requirements
DevOps Experience: 4+ years of experience in the DevOps field or as a Platform Engineer
Programming Skills: Proficiency in Python, Java, or Go programming languages
CI/CD Expertise: In-depth knowledge of CI/CD tools and processes
Tech Enthusiasm: Strong passion for technology and a drive to continuously learn
Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts
Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.
Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes
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