What are the responsibilities and job description for the Full Stack Developer / Kubernetes + Elasticsearch position at Perfict Global, Inc.?
About Us :
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.
We provide excellent benefits such as Medical, Dental, Vision a fun company to work!!!
Job description : MUST HAVES :
8 years of experience with React or Angular for Front-End Development
3 years of demonstrated experience with Elasticsearch building the Elasticsearch queries and templates
3 years of API Hosting in Kubernetes AWS services - Lambda, EKS, EC2, S3, Redis
Job Details :
Work on the packed Business Capabilities team as a full stack developer to build robust, scalable, and efficient applications that can handle a wide range of tasks and workloads.
8 years of experience as a full stack developer with a proven track record of delivering solid, scalable and innovative solutions
Proficiency in NodeJS / go lang / Python in API development experience
Good understanding of API Hosting in Kubernetes AWS services - Lambda, EKS, EC2, S3, Redis
Experience in building the Elasticsearch queries and templates
Handling the deployment, scaling, and maintenance of applications with technologies like Docker, Kubernetes, CI / CD pipelines, and cloud services preferably with AWS
Designing and consuming RESTful and / or GraphQL APIs
Example Workflow :
Develop : Write the application code, including front-end (React, Angular) and back-end (Node.js, Python).
Containerize : Package the application into Docker containers.
Deploy : Use Kubernetes (EKS) to deploy the containers, ensuring they are scalable and resilient.
Integrate : Connect the application with AWS services like Lambda for serverless functions, S3 for storage, and Redis for caching. Elasticsearch : Set up an Elasticsearch cluster to handle search and analytics. Index your data into Elasticsearch to enable fast search and real-time analytics.
Manage : Use EC2 for additional compute resources if needed and set up monitoring / logging with CloudWatch.
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