Educational Qualifications: BE/B Tech/ M.E/M Tech/MS/MCA/MSc.
Overview:
- Manage a team of experts to design application deployment architecture to ensure high availability.
- Manage a team of experts to provide infra-deployment guidelines to bake into app design.
- Ensure robust security, scalability, and reliability of UIDAI's data centres and networks.
- Participate in architectural design review sessions, develop proof of concepts/pilots, implement projects, and deliver ongoing upgrades and enhancements.
- Revamp applications for AADHAR's Private Cloud Deployment in today's constantly shifting digital landscape to increase operational efficiency and reduce infrastructure costs.
Role & Responsibilities:
Drive innovation & Technology transformation:
- Lead Cloud Operations/ Infra team in fine-tuning & optimization of cloud-native platforms to improve performance and to achieve cost efficiency.
- Drive solution design for RFPs, POCs, and pilots for new and upcoming projects or R&D initiatives, using open-source cloud and infrastructure to build a scalable and elastic Data Center.
- Encourage & create an environment for Knowledge sharing within and outside the UIDAI.
- To interact/ partner with leading institutes/ R&D establishments/ educational institutions to stay up to date with new technologies and trends in cloud computing.
- Be a thought leader in architecture design and development of complex operational data analytics solutions to monitor various metrics related to infrastructure and app operations.
Cloud Architecture Design & Implementation:
- Develop scalable, secure, and highly available cloud architectures to meet business and operational needs.
- Architect and design infrastructure solutions that support both virtualized and containerized workloads.
Solution Integration, Performance Monitoring & Optimization:
- Work with cross-functional teams to ensure seamless integration of cloud solutions in UIDAI.
- Monitor cloud infrastructure performance and ensure efficient use of resources.
- Identify areas for improvement and implement optimizations to reduce costs and improve performance.
Security & Compliance: - Implement security best practices for on-premise cloud environments, ensuring data protection and compliance with industry standards.
- Regularly perform security audits and vulnerability assessments to maintain a secure cloud infrastructure.
Communication, Collaboration & Documentation:
- Maintain detailed live documentation of cloud architecture, processes, and configurations to establish trails of decision-making and ensure transparency and accountability.
Role Requirements:
- Excellent problem-solving and troubleshooting skills.
Must have demonstrable experience in application performance analysis through low-level debugging.
- Experience on transformation projects for On-Premise data solutions, open-source CMP - OpenStack, CloudStack.
- Should be well versed with Site Reliability Engineering (SRE) concepts with a focus on extreme automation & infrastructure as code (IaC) methodologies & have led such teams before; including exp on Gitops, and platform automation tools like Terraform, Ansible etc.
- Strong knowledge of Linux-based operating systems (Ubuntu, CentOS, RedHat, etc).
- Strong understanding on the HTTP1.1, Http2 with gRPC and HTTP/2 (QUICK) protocol functioning.
- Experience in System Administration, Server storage, Networking, virtualization, Data Warehouse, Data Integration, Data Migration and Business Intelligence/Artificial Intelligence solutions on the Cloud.
- Proficient in technology administration, remote infrastructure management, cloud assessment, QA, monitoring, and DevOps practices.
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Extensive experience in Cloud platform architecture, Private cloud deployment, large-scale
] transformation or migration of applications to cloud-native platforms.
- Should have experience in building cloud-native platforms on Kubernetes, including awareness & experience of service mesh, cloud-native storage, integration with SAN & NAS, Kubernetes operators, CNI, CSI, CRI etc.
- Should have strong expertise in networking background in terms of routing, switching, BGP, technologies like TRILL, MP-BGP, EVPN etc.
- Preferably, should have experience in SAN networking & Linux networking concepts like networking namespaces, route tables, and ss utilities.
- Experience on Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server.
- Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.
- Experience in ML Ops pipeline is preferable.
- Experience with distributed computing platforms and enterprise environments like Hadoop, GCP/AWS/Azure Cloud is preferred.
Experience with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, and Dataflow is preferred.
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