efficiency of DevOps tools and practices. Continuous improvement in CI/CD performance and incident response time. About you: Extensive experience with Azure or Google Cloud Platform, either in a commercial setting or private projects, with knowledge of alternative cloud providers such as AWS an advantage. Comfortable with Linux … as Cloud IAM, Organisation Policy Service, Firebase Authentication, Identity Platform, Cloud KMS, Certificate Manager, VPC, Cloud Storage, Cloud CDN, pub/sub, Cloud SQL, ComputeEngine, Google Kubernetes Engine, Cloud Run. OR Experience with Azure features such as Azure Active Directory, RBAC, Azure Policy, Azure AD … showcase your skills and what you can contribute. Our interview process: Stage - Intro Call with a member of the Talent team, Andrew (30 minutes Google Meet) Stage - Take home tech test (no deadline, simply return when you're happy) Stage - Final stage interview with at least 2 members of More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Tata Consultancy Services
robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and … maintain data models and schemas to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big … Query. Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your More ❯
journey with us. The must haves Strong experience building, configuring and optimising GCP based Cloud Services at scale. This should include workloads that utilise ComputeEngine instances, Cloud SQL instances, Cloud storage buckets and GKE. Coupled with corresponding ancillary functions such as identity and networking requirements (Dedicated Interconnects … VPC peering, Cloud Routers, Google DNS, Cloud NAT, IAM and VPC SC's) Strong experience of DevOps concepts and deploying CI/CD pipelines using cloud native and third-party tooling Comfortable using the Atlassian suite of tools (JIRA, Confluence) The other stuff we are looking for We'd … of modern development methodologies and technologies such as Kubernetes, serverless computing and containers (CasS) Strong understanding and comfortable using GCP services within an Enterprise Google Organisation, including project creation via a project factory with devops delivery methods Experience of planning and delivering cloud migration or transformation projects in both More ❯