DevOps Engineer

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