The role involves designing and maintaining a secure, scalable cloud data platform, implementing CI/CD practices, and managing access controls.
About FusemachinesFounded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Type: Full-time, RemoteAbout the Role
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Type: Full-time, RemoteAbout the Role
We are seeking a highly skilled Senior Data Platform / DevOps Engineer to play a crucial role in transforming the organization into a data-driven entity. This role involves designing, building, and maintaining a robust, scalable, and secure cloud-based data and analytics platform. The focus will be on implementing best practices, automating infrastructure, and establishing continuous integration/continuous delivery (CI/CD) pipelines across multiple environments.
Key Responsibilities- Cloud Infrastructure & Architecture:
- Design, provision, and configure cloud infrastructure within the Azure tenant using "Infrastructure as Code" (IaC) principles to ensure automation, consistency, and scalability.
- Conduct thorough reviews of current cloud implementation and design a future-proof architecture for the Data and Analytics platform.
- Define and implement standardized naming conventions and specific cloud setup configurations for an organized and manageable environment.
- Security and Access Management:
- Configure and implement robust Identity and Access Management (IAM) and User Access Management (UAM) to ensure secure and controlled access to all data and analytics resources.
- Environment Setup and CI/CD:
- Establish and configure distinct environments (Development, Testing, Staging, Production) to support a strong CI/CD process and speed up release cycles.
- Configure and optimize underlying data storage components, such as Data Lake Storage and Data Governance tools (e.g., Unity Catalog configuration), to support the Medallion architecture.
- Integrate and configure Software Development Life Cycle (SDLC) tools (e.g., source code management, CI/CD pipelines) to manage code repositories and automated deployments.
- Implement and maintain CI/CD pipelines to automate the deployment of infrastructure, data pipelines, data models, and BI reports across environments.
- Testing Infrastructure:
- Provide and maintain the necessary infrastructure to facilitate comprehensive testing, including Unit Testing, Regression Testing, System Integration Testing, and User Acceptance Testing (UAT).
- Foundational Stability: Establish a robust, future-proof, and scalable data and analytics platform.
- Documentation Completeness: Deliver comprehensive documentation of the architecture, data flows, governance policies, environment configurations, and IAM/UAM setup.
- Operational Multi-Environment Setup: Fully operational and properly configured development, testing, staging, and production environments are in place, supporting strong CI/CD.
- Access Control: Ensure data security system controls are effectively implemented, including robust UAM and IAM.
- Proven experience in cloud infrastructure provisioning and configuration, ideally with Azure (Databricks, Data Lake Storage, Key Vault).
- Expertise in Infrastructure as Code (IaC) tools and practices.
- Strong experience designing and implementing CI/CD pipelines using tools like Azure Pipelines or GitHub Actions.
- Deep understanding of data storage concepts and data governance, particularly the Medallion architecture.
- Familiarity with setting up and configuring data platforms for multiple Software Development Lifecycle (SDLC) stages.
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws
Top Skills
Azure
Azure Pipelines
Ci/Cd
Data Lake Storage
Databricks
Github Actions
Infrastructure As Code
Key Vault
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