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| Job Location | Delhi |
| Education | Not Mentioned |
| Salary | Rs 12 - 18 Lakh/Yr |
| Industry | IT - Software |
| Functional Area | Application Programming / MaintenanceEmbedded / System Software |
| EmploymentType | Full-time |
Responsibilities: Design and implement a containerization strategy in Dev that could be applied to Ops fora cloud-based environment (AWS, GCP, or Microsoft Azure) Automate management and orchestration tasks. Building CI/CD pipelines forMicroservices and deployment to Kubernetes Conduct root cause analysis for container runtime problems Author documentation and procedures for NESDIS DevOps in a cloud-basedenvironment. Monitor, measure, and automate all things to ensure exceed performance andavailability goals Identify bottlenecks in development and deployment processes Participate and potentially lead technical presentations on the work. Understand the current systems, algorithms, and cloud-based HPC architecture Instrument the infrastructure with frameworks that can be appropriately adopted forlogging, monitoring, and alerting Participate in team meetings, interface independently with SMEs, and interact withfunding clientsQualifications: 5+ years professional Linux experience (Red Hat Enterprise Linux (RHEL) preferred). 3+ years Docker/Kubernetes container infrastructure and orchestration. 2+ years design and maintenance expertise with system administration of Cloud infrastructure,including Amazon Web Services, Google Cloud Platform, and/or Microsoft Azure cloud services. Bachelor of Science (BS) + 5 Years Experience or Master of Science (MS) + 3 YearsExperience Area of Study: Computer Science; Computer EngineeringDesired Qualifications: 5+ years Docker/Kubernetes container infrastructure and orchestration 3+ design and maintenance expertise with system administration of Cloud infrastructure,includingAWS, such as provisioning (using Cloudformation or Terraform), logging or monitoring, andarticulating these concepts to technical and non-technical audiences Experience with IaaS, PaaS; implementing scalable cloud-based environments and systems;service-oriented architectures and microservices; deploying resilient, scalable, high-throughputsystems that process large amounts of data Experience with cloud vendor-specific monitoring tools (AWS CloudWatch, GCPStackdriver, Azure Monitor) Experience with microservices, serverless architecture, and clusters Experience implementing HPC solutions in a commercial cloud environment, specifically withAmazon Web Services, Google Cloud Platform, and/or Microsoft Azure Scientific background to contextualize algorithms and applications being containerized
Keyskills :
dmzactivemqredisostgres-nginx-git-eitherofrabbitmqbigdatatechnologieskibanamemcached-eitherofgooglecloudcomputeelkistio-loadbalancer-varnish-eitherofsparklogstash-eitherofzeromqueueelasticsearchgcp-microsoftazure-airflow-nodejsohadoop-netwo