DevOps Engineer - Docker/Kubernetes (2-6 yrs)

Job Description :

DevOps Engineer you will help to design, build, and maintain the company integration / automated deployment flow to ensure that the company product is easy to deploy and update in a fully automated way. You will be responsible for the Kubernetes pipeline and building containers and will be able to influence technology choices and gain exposure to Machine Learning technologies. The company uses a broad tech stack (including Python, Microservices, Kubernetes, Docker, Cloud, Angular, Node, and React) to create an intelligence system that makes communication data understandable and actionable at scale.

Responsibilities :

- Understand the existing product landscape and follow the current process with code development, check in, testing, and amp; deployment process diligently.

- Own code repository, build, and deploy activities across live, test, and demo environments.

- Monitor logs in live and test environments for failure and resolve issues related to system failure, service broken, or any infra-related issues. Report to the development team on code-related issues.

- Write Linux scripts for various needs like server starting/stopping, restarting services, checking if services are up, etc.

- Monitor loads on servers, and Kubernetes clusters and find ways to optimize cost.

- Look for cheaper and more efficient ways to optimize cloud cost for deployment and runtime services.

Requirements :

- DevOps Engineer having 2-4 years of relevant experience with solid knowledge of DevOps Practices and amp; CICD.

- Must have hands-on experience in github, gitlab, and Linux script.

- Must have Knowledge and amp; hands-on experience with Kubernetes, Docker, and Container Registries.

- Must have knowledge and amp; hands-on experience in Linux, Shell Scripting, and Python scripting to automate deployments and other Infrastructure activities.

- Knowledge and experience on Azure Kubernetes Services, Azure Container Registries, and Azure monitoring are preferred.

- Strong knowledge and experience in Azure PaaS and IaaS services such as Azure Storage account, Azure File Shares, Azure Virtual machines management and deployment.

- Experience and good knowledge of Jenkins with demonstrated skills in creating CICD pipelines is a must.

- Knowledge of YML with the ability to create Docker Files for different environments and resources.

- Hands-on experience in working with Private Networks, VPN, and configuring Application proxies and load balancers for AKS and other Azure Services.

- Knowledge of Azure cognitive services (Computer vision API, NLP, etc., )

- Azure's cloud-native development services (Function App, Logic App, etc., )

- Azure's queuing, event-driven programming services (Event grid, Event hub, etc., )

- Azure data engineering services (Databricks, etc., ) are nice to have.

- Azure DBs like Cosmos, SQL, and PostgreSQL.

- Knowledge of Azure Vault, API Gateway, etc.

- Azure Architect certification.