Experience * 0 to 2 years of experience Requirements * Bachelors in Computer Science or equivalent degree * 6+ months experience working with any of the major cloud providers preferably Google Cloud * Good hands-on experience in at least 1 programming language and 1 scripting language. * Proficient in Linux System Administration, operations and automation using bash scripting. * Experience/Knowledge of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) offerings. * Familiarity working with Docker and Kubernetes setups. * Basic understanding of Networking concepts - VPC, subnet, CIDR ranges, routers, firewalls, NAT * Familiarity working with any DNS providers. * Understanding of infrastructure automation (IaC), continuous integration/deployment (CI/CD), relational/NoSQL data stores, security, networking, and cloud-based delivery models * Understanding of Monitoring & Logging Systems * Familiarity working with version control tools such as Bitbucket, Github/Gitlab * Strongly goal oriented individual with a continuous drive to learn and grow * Good communication skills * Emanates ownership, accountability and integrity Responsibilities * Contribute to at least 1 customer project and coordinate with Senior Cloud Engineer, Product owner and Project Manager. * Learn and participate in Agile Development methodology. * Act according to task prioritization and deliver on commitments with a sense of urgency. * Given an introduction to a task, understand the scope with the help of Senior Cloud Engineer and drive the task to completion. * Participate in design and implementation of technical solutions in the fields of (among others): Cloud Architecture, Containerization, Automation, Cloud migrations and DevOps. * Learn to implement overall cloud architecture including Landing Zone configuration in Google Cloud (organization, network, storage, compute and integration with on-premises), security and compliance (IAM, billing managing, resource hierarchy, data security, security controls). * Configuring Compute systems (VMs, Kubernetes clusters) * Identify and use appropriate cloud services to support applications in the cloud and always follow best practices * Work with cloud Infrastructure monitoring / logging / profiling / alerting tools. * Contribution to the application life cycle and utilizing web services, API, REST, and RPC * Learn to troubleshoot effectively and Identify potential bottlenecks in Application Performance * Manage network-related workloads including DNS and firewalls * Define and document best practices and strategies regarding application deployment and infrastructure maintenance * Learn more about core computer science and the fundamental concepts to effectively contribute and coordinate with cloud native software engineers