DevOps Engineer

at  Intone Networks

• Responsibilities o Identifies, creates, and applies software development and security standards and practices. o Plans, designs, and documents software components. o Develops and operates end-to-end automated solutions for IT ops activities (including deployment, release management, monitoring, etc.). o Collaborates with Operations, Development, and QA functions to develop solutions that are predisposed to scalability and simplified maintenance. o Configures and maintains on-premises and Googlecloud infrastructure to ensure availability, performance, scalability, and security of development, testing, and production environments, relying on automated scripts and configuration management tools. o Creates and manages Infrastructure as Code (IaC). o Maintains, extends, and builds automated CI and CD pipelines. o Demonstrates expertise in the deployment of integrated or stand-alone releases across multiple interconnected and dispersed applications. o Uses industry standard tools to improve and speed up delivery of our products and services. o Provides fast and thoughtful issue resolution by executing quick fixes or proactively identifying and solving problems related to builds in production environments. o Creates the pipeline to periodically generate code quality metrics. o Drives each team to be self-sufficient by providing tools and training and brings different teams together to work towards common goals. o Coordinates resources across technology functions to stand up and monitor environments. o Configures and automates development and test environment, deployment, automation, and support test data management. o Establishes workflows that use the automated pipelines for CI and CD. o Works closely with product and application teams to create version control branching strategy. o Works cross-value streams with other DevOps Engineers to avoid and resolve merge conflicts. o Develops tool integrations that allow for end to end traceability for application development (from requirements to code objects changed to meet the requirements). o Develops, maintains, extends and builds automated Continuous Integration and Continuous Delivery pipelines. o • Required o BS or MS degree in Computer Science or related field o Expertise in software development o Expertise in CI/CD and DevOps practices o Expertise in k8s o Hands on experience in defining CI/CD pipelines for enterprises e.g. Concord/Looper/etc. o Experience deploying and maintaining high volume APIs o Experience in QA and SRE • Nice to Have o Experience with and understanding of best practices in Machine Learning, software engineering, and production deployment of ML services o Experience with Kubeflow, MLFlow and MLOps practices o Experience deploying applications in GCP and Azur

Please refer the Job description for details