Cloud Engineer

5 dni temu

Kraków, Lesser Poland GT Pełny etat

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT's mission is to connect the world's best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of Social Cues, GT is looking for a Cloud Engineer with expertise in AWS.

About the Project

We're building Social Cues Killer Prototype — an intelligent system that reimagines the traditional Killer Pool game by automating scoring and enhancing spectator engagement through edge vision and cloud-based video processing.

This phase focuses on a Proof of Concept (PoC): a minimal, reliable, end-to-end demo proving the system's core functionality before full-scale development.

You'll be the key engineer designing and deploying the AWS cloud infrastructure that powers it. As the Cloud Engineer, you'll own the end-to-end AWS deployment of the PoC, ensuring the solution is lightweight, secure, cost-efficient, and ready for demo.

  • Duration: 8 weeks (part-time, 16-20 hrs/week)

Responsibilities:

  • Computer Vision Model Training and Support

    • Collaborate with the Computer Vision team during the model training process.

    • Help ensure the model accurately tracks gameplay and generates correct in-game events for the Proof of Concept.

  • Infrastructure as Code (IaC)

    • Design and deploy the entire PoC architecture using Terraform or AWS CloudFormation.

    • Implement key AWS services, including Kinesis Video Streams (KVS), Rekognition Stream Processor, Kinesis Data Streams (KDS), Lambda, DynamoDB, and API Gateway.

  • Pipeline Development

    • Build and maintain the full event pipeline — from video ingestion via KVS, through Amazon Rekognition for object detection, into KDS, and finally consumed by the Game Engine Lambda.

    • Ensure the pipeline operates efficiently with reliable event flow and low latency.

  • Security and Access

    • Set up Amazon Cognito for authentication and authorization.

    • Secure all public endpoints with TLS/HTTPS, and apply IAM least-privilege principles across all services.

  • Monitoring and Reliability

    • Configure Amazon CloudWatch logging, metrics, and alerts to track the demo's health.

    • Focus on minimizing end-to-end latency and error rates, and address architectural concerns such as event ordering and idempotency within the game engine.

Essential knowledge, skills & experience:

  • 3+ years of hands-on experience building and deploying on AWS.

  • Expertise in serverless architecture: Lambda, DynamoDB, API Gateway, Kinesis (KVS/KDS), and Rekognition.

  • Strong IaC skills using Terraform or AWS CDK.

  • Python scripting experience for Lambda functions and automation.

  • Familiarity with API Gateway (HTTP and WebSocket) for real-time communication.

Nice-to-have

  • Experience with real-time streaming and ML-based services (Rekognition, SageMaker, OpenCV).

  • Understanding of event-driven architectures — ordering, retries, and idempotency.

  • Practical cost-optimization experience in AWS serverless environments.

  • Familiarity with Cognito for authentication and access control.

Interview Steps

  1. GT interview with Recruiter

  2. Technical interview

  3. Final interview

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