DevOps/DataOps Engineer in KaaIoT

Requirements:5+ years of extensive experience in DevOps/DataOps roles, specifically with cloud-based infrastructure migrations, preferably within the telecom sector.3+ years of experience with GCP services, with a strong background in migrating on-prem to cloud-native solutions(GCP).Expertise in Terraform for IaC, Python for scripting and automation, and Java as a valuable additional skill.Solid experience with big data technologies, data processing, and analytics tools such as DBT, BigQuery, and Google Dataflow.Demonstrated ability in developing CI/CD pipelines, ideally with GitLab, and implementing security best practices including IAM and Hashicorp Vault.Knowledgeable in FinOps principles for cloud cost management and optimization.Exceptional problem-solving skills, effective communication abilities, and the capability to manage complex migrations in a fast-paced environment.Responsibilities:Cloud Migration: Design and execute a strategic plan for migrating existing on-premises infrastructure, including enterprise data hubs based on Hadoop and Hive, to GCP. This involves assessing current architectures, selecting equivalent or superior GCP native solutions, and ensuring a seamless transition with minimal operational disruption.Infrastructure as Code (IaC): Utilize Terraform to provision and manage cloud resources in a reproducible and scalable manner, emphasizing security and compliance.Workflow Orchestration and Data Management: Configure and manage GCP Composer for orchestrating data workflows, leverage DBT for data transformation, BigQuery for analytics, and Google Dataflow for scalable data processing pipelines. Programming and Scripting: Use Python for scripting, automation, and the development of data processing tasks. Experience with Java will be considered as a plus.Security and Compliance: Implement and manage IAM policies and use Hashicorp Vault to manage secrets and sensitive data, enhancing the security posture of our cloud and data environments.CI/CD and DevOps Practices: Develop and maintain CI/CD pipelines using GitLab for streamlined deployment. Apply DevOps best practices to improve deployment, monitoring, and operational processes continuously.FinOps: Apply FinOps principles to manage and optimize cloud spending, ensuring efficient resource allocation without compromising performance or quality.Backup and Recovery: Design robust backup and recovery strategies for GCP, ensuring data integrity and availability across all systems.About the project:The company in question is a prominent player in the telecommunications industry, offering a comprehensive range of services such as internet, television, and mobile phone plans. Known for its expansive network coverage and reliability, this provider is highly regarded for its commitment to innovation and delivering advanced technology to enhance customer experiences. With a strong focus on customer satisfaction, the company continuously adapts to meet the evolving demands of the digital landscape.To lead the comprehensive migration of on-premises data processing solutions to Google Cloud Platform (GCP), specifically from Hadoop and Hive to GCP native solutions. This role is critical for optimizing our cloud presence in terms of security, cost, and operational efficiency, requiring a blend of cloud computing, data management, and software development expertise.