Job DescriptionWe are seeking a skilled Mid-Level DevOps Engineer to join our dynamic team. Your focus will be on GCP data and cloud computing architecture, ensuring reliable operation and scaling of data pipelines, architecture, and tools. You will also play a crucial role in supporting the back-end integration for apps and tools we build internally.Key Responsibilities:Data Architecture:Build, maintain, and evolve a secure and reliable data architecture in Google Cloud Platform (GCP)Establish and maintain data schema and definitions to support common understanding and a single source of truthImplement robust QA processes to ensure rock-solid data fidelityMaximize the use of Python over SQL to enhance flexibility and maintainabilityCloud Infrastructure Management:Design and maintain cloud-based infrastructure and resourcesUtilize container orchestration tools like Kubernetes and Docker for deploying, scaling, and operating containerized applications (e.g., n8n).ETL & Data Pipeline Management:Build and maintain ETL workflows to handle data ingestion and processing using tools like Cloud RunImplement automated pipeline QA and escalation protocols to ensure resilience and minimize downtimeVersion Control and CI/CD:Manage versioning and collaborative development of code using GitHubImplement Continuous Integration/Continuous Deployment (CI/CD) pipelines using Google Cloud BuildServe as the team lead/steward of best practices for version control and CI/CDData Security and Compliance:Implement best practices for data security, compliance, and access controlCollaborate with external consultants to ensure the highest standards of data security are metQualifications:Bachelor's degree in Computer Science, Engineering, or a related field3+ years of experience in DevOps, cloud architecture, or related roles, ideally in a startup context where many hats needed to be wornProficiency in Google Cloud Platform (GCP) services, containerization tools like Kubernetes and Docker, version control systems (GitHub), and CI/CD practicesProficient in Python and SQLUnderstanding of data security best practicesSkills and Attributes:Thirst to take on ambitious projects. Someone who takes pride in building incredible things and delivering real impactFeels a true sense of satisfaction for working in a mission-driven organization that is changing lives for the betterStrong problem-solving skills and adaptability to new challengesEnjoys working collaboratively in a team environmentSelf-motivated and eager to learn new technologies and methodologiesDetail-oriented with a focus on data accuracy and reliability