Senior Engineer, Cloud Engineering

Bangalore, India
Job ID: R01513621

Senior Engineer, Cloud Engineering

[19:05] Bharath S Job Description Azure Specialist  Infrastructure Expected to drive and contribute to research, design, documentation, and modifications to software specifications throughout the production life cycle with optimal technical solutions across the Azure Infrastructure platforms stack.  Detailed knowledge and implementation skills of Azure Patterns and Design and Migration best practices. Primary responsibilities include designing, testing, debugging and analysing Infrastructure components and Fabric.  Roles and responsibilities  Designs, develops, implements, owns and maintains IT solutions for clients within an agile development lifecycle.  Contribute to planning, design, implementation, testing, operations, and process improvement.  Develops highquality, efficient, IaaS and PaaS components to meet business requirements and in accordance with industry best practices.  Participates in development of technical solution addressing business issues.  Participates in requirements discussions and meetings as necessary.  Generates statistics and prepares reports for management andor team members on the status of the project.  Strong customer focus, ownership, ability to dive deep into customer requirements, navigate through ambiguity and undefined problems. Required Mandatory experience  4 years hands on experience with Azure Services, Windows Linux platform.  In depth knowledge with Azure architectures, operations and implementations.  In depth knowledge of the Azure computing platform, its many services and dimensions of scalability including but not limited to   Azure Storage, Virtual Network, Compute, Premium Storage, Load Balancing, ARM templates for Azure Orchestration, Network Watcher, Operation analytics, Azure SQL, Traffic Manager, Azure Site Recovery, Azure Active Directory.  Experience working with Automation tools, Cloud management tools  Knowledge of federated authentication and authorization models [19:09] Bharath S Experince DevOps technologies which includes Ansible, Big Bucket, Jira  Experience in AWS services such as EC2, ELB, AutoScaling, S3, IAM, VPC, RDS, DynamoDB, CloudTrail, CloudWatch, Lambda, ElasticCache, Glacier, SNS, SQS, CloudFormation, CloudFront, Beanstalk, EMR, AWS Workspaces.   Experience in creating Docker Images using Docker files and deploying the artifacts into that image, which can later be stored in Docker hub.  Experience in migrating OnPremise servers to AWS and Private Clouds, using Cloud Formation Templates, AMIs and other AWS resources.  Experience in using build tools like GRADLE, MAVEN and ANT for the building of deployable artifacts such as war & ear from source code. Designed and created multiple deployment strategies, CICD pipelines using Jenkins.  Experience in working on source control management tools like GIT (GitHub), Subversion (SVN) and creating GIT repositories with specified branching strategies.  Expertise in setting up Kubernetes (k8s) clusters for running micro services and deploying them into Production environment.  Configured Kubernetes with Hashicorp Vault to inject configurations at runtime for each service using init, config sidecars and persistent volume sharing between app and config containers.  Experience working with Web servers & application servers such as Apache2, Nginx, Apache Tomcat.  Used Containerization tools like Docker and Kubernetes for automated deployments, scaling and management of containerized applications across clusters of hosts.

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