Snowflake DevOps Engineer

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your RoleAs a Senior DevOps / Platform Engineer, you will be responsible for operating, automating, and industrializing a Snowflake-based Knowledge Platform supporting enterprise knowledge management, AI solutions, retrieval-augmented generation (RAG), and unstructured data capabilities.

You will work closely with architects, data engineers, and business stakeholders to ensure scalable, secure, and resilient platform operations.

In this role you will: Operate and optimize Snowflake platform components supporting enterprise knowledge use cases. Automate deployment, configuration, and environment management processes. Build and maintain CI/CD pipelines and Infrastructure as Code solutions using Terraform. Improve platform monitoring, observability, resilience, and cost visibility. Support ingestion, governance, and publication of structured and unstructured knowledge assets.

Implement security, compliance, and production-readiness standards. Perform performance tuning, scalability assessments, and capacity planning activities. Create operational runbooks, technical documentation, and knowledge-transfer materials. Collaborate with cross-functional teams in an Agile delivery environment. Your Profile5+ years of experience in DevOps, Platform Engineering, Cloud Engineering, or Data Platform environments.

Strong hands-on experience with Snowflake and advanced SQL. Proven experience with Terraform and Infrastructure as Code practices. Experience building and maintaining CI/CD pipelines. Strong knowledge of Azure, AWS, or Google Cloud Platform services. Experience with monitoring, observability, production support, and incident management. Understanding of structured and unstructured data platforms, RAG architectures, and AI platform patterns.

Knowledge of security, governance, reliability, and cost-optimization best practices. Strong analytical, problem-solving, and stakeholder-management skills. Excellent English communication and technical documentation abilities. Ability to work autonomously in fast-paced international environments.What you will love about working hereDiverse & Impactful Projects: Develop your expertise across a wide range of missions, technologies, and sectors, with meaningful autonomy and room for initiative.

Continuous Learning

Access comprehensive training platforms and recognized certifications.

Flexibility & Balance

Benefit from hybrid working policies that allow you to manage your time and work location effectively. Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries.

We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Make it real | www.capgemini.com