Designation: Cloud Engineer
Qualification: - A bachelor's degree in computer science, information systems and technology, software engineering, or another related field
Working Hours: 9 AM to 6 PM
Full-Time Job
Experience: Freshers
Job Description:-
Cloud Engineers are IT professionals who design, implement, and manage cloud-based systems for businesses. They develop and implement cloud applications, migrate existing on-premise applications to the cloud, and debug cloud stacks
Roles and Responsibilities:-
- Primary responsibilities include developing and implementing policies for the use of cloud services, managing requests for new technology, establishing a secure cloud environment, and ensuring appropriate availability of services, also known as uptime
- Knowledge of RESTful APIs and JSON data
- Modifying and improving existing systems.
- Educating teams on the implementation of new cloud technologies and initiatives.
- Designing, developing and deploying modular cloud-based systems.
- Knowledge across all phases of SDLC using agile methodologies
- Developing and maintaining cloud solutions in accordance with best practices
- Solid development knowledge using Microsoft.Net, .Net Core
- Knowledge of CI/CD systems.
- Front End Development Knowledge using Angular 2.0 & above / ReactJS
- Knowledge in Microservices, Containers, Kubernetes
- Good knowledge of Integration architecture (network, identity, services and data)
- Knowledge of cloud design considerations and FinOps
- Good Knowledge End to End API development
- Good knowledge and understanding of setting up CI/CD Pipeline using tools like Jenkins, VSTS and others
- Designing cloud-native and cloud-agnostic solutions
- Strong in Cloud services
- Azure, AWS, and GCP certifications are preferred.
- Strong experience in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud services such as Azure, Google Cloud
- Understanding the five pillars of a well-architected framework
- Knowledge in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, and advanced analytics is good to have
- Proven ability to collaborate with multidisciplinary teams of business analysts, developers, data scientists, and subject-matter experts
Skills:-
- Troubleshooting and analytical skills
- Good communication and collaboration skills
- Programming Language
- Knowledge of working on CMMI / Agile / SAFE methodologies
- Knowledge of working with AWS and/or Azure and/or GCP and a proven track record of building complex infrastructure programmatically with IaC tooling or vendor libraries
- Strong scripting/programming skills in Python, Linux Shell
- Knowledge of SysOps.
- Knowledge of CI/CD pipelines and using test-driven frameworks
- Database skills
- Knowledge of implementing and testing Azure Services
- Knowledge of Agile and DevOps concepts
- Containerization
- Strong communication and written skills
- Knowledge of creating technical architecture documentation
- Programming skills
- Knowledge of Linux OS internals, administration and performance optimization.
- Networking skills
- Knowledge of Agile and DevOps concepts Developing monitoring architecture and implementing monitoring agents, dashboards, escalations, and alerts.
- strong understanding of the Linux operating system, which companies frequently use for cloud development
- Understanding of cloud providers.
- Expert-level knowledge of CSP design, architecture, and services (EC2, IAM, S3 etc.).
- Kubernetes(EKS),Microservices, Containers