AWS, AWS CDK + Typescript

0 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

About Cient:


Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.


WFH)

Client: Turing

Experience: 5+yrs

Contract to hire.

:- Immediate joiners.


Requirements

  • Strong proficiency with

    AWS Cloud Development Kit (AWS CDK) in TypeScript.

  • Solid experience with TypeScript fundamentals: interfaces, types, classes, generics.
  • Practical knowledge of Node.js environment and npm package management.
  • Experience writing unit tests for infrastructure code using Jest or similar frameworks.
  • Hands-on experience managing AWS infrastructure components such as Lambda, EC2, S3, IAM, VPC, Subnets, NAT Gateways, and Security Groups.
  • Proficient with CDK CLI tools: synth, deploy, diff, etc.
  • Experience designing and implementing secure, scalable AWS networks with private/public subnet architectures.
  • Ability to debug infrastructure issues, understand CloudFormation stack failures, and troubleshoot runtime problems.
  • Familiarity with AWS best practices for security, cost optimization, and high availability.
  • Excellent problem-solving skills with a pragmatic approach to cloud infrastructure automation.
  • Strong English communication skills with ability to write technical documentation clearly and comprehensively.

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