DevOps Engineer

Our company description Mission is a platform for hiring, vetting, and managing software development talent. It enables our clients to connect with the world’s best talent to build mission-critical software products About the Company This cloud consultancy specializes in data and AI-driven business transformations. The firm partners with enterprise organizations to implement complex solutions in machine learning, data engineering, and generative AI. They focus on building scalable infrastructure and advanced analytics platforms for clients in sectors such as retail, finance, and media. The organization is recognized for its technical expertise in modernizing legacy systems and deploying cloud-native data products across multi-cloud environments. About the Role As a Senior DevOps Engineer, you will own the architectural foundation of a large-scale AI data-product platform. You are responsible for designing and maintaining the cloud infrastructure, security, and observability frameworks necessary for processing massive datasets and high-availability inference services. This role involves building secure, automated environments that integrate multiple cloud providers and data platforms. You will ensure system reliability and performance while driving the transition of the platform to the client through comprehensive technical leadership and infrastructure ownership. What You’ll Do Provision and maintain multi-environment cloud infrastructure using Infrastructure as Code to ensure consistency across development, QA, and production.Design and implement robust CI/CD workflows for platform services, APIs, and large-scale data processing pipelines.Integrate security scanning tools and automated recovery protocols into deployment pipelines to maintain high security standards.Configure enterprise-grade identity management, secure networking, and tenant isolation for complex data intake pipelines.Establish comprehensive observability systems for monitoring service health, API latency, and data pipeline reliability.Implement cost controls and workload limits to manage compute expenditure across high-volume processing jobs.Develop operational runbooks and lead technical knowledge transfers to ensure successful platform handover to client teams. What You Bring Extensive experience managing enterprise environments within Google Cloud Platform.Advanced proficiency in Terraform for infrastructure provisioning and state management.Strong background in containerization and orchestration using Docker and serverless or managed Kubernetes services.Proven track record of building automated deployment pipelines with integrated security testing (SAST).Technical expertise in cloud networking, including VPC configuration, secure cross-cloud connectivity, and identity management (IAM).Experience implementing monitoring, logging, and alerting frameworks for high-availability systems. Nice to Haves Experience working with MLOps to deploy and monitor machine learning models and batch processing pipelines.Familiarity with cross-cloud data architectures involving external cloud providers and enterprise data warehousing platforms.