Senior Site Reliability Engineer at Rootly embedding with teams to enhance service performance and reliability. Own CI/CD pipelines and drive capacity planning efforts in a fast - paced environment.
About the role
- 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
Benefits
- 27 days of vacation
- Supplementary and additional health insurance
- 50% covered MultiSport membership
- Hybrid working model for flexibility and balance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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