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.
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Duration: 8 weeks (part-time, 16-20 hrs/week)
Responsibilities:
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Computer Vision Model Training and Support
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Collaborate with the Computer Vision team during the model training process.
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Help ensure the model accurately tracks gameplay and generates correct in-game events for the Proof of Concept.
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Infrastructure as Code (IaC)
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Design and deploy the entire PoC architecture using Terraform or AWS CloudFormation.
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Implement key AWS services, including Kinesis Video Streams (KVS), Rekognition Stream Processor, Kinesis Data Streams (KDS), Lambda, DynamoDB, and API Gateway.
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Pipeline Development
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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.
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Ensure the pipeline operates efficiently with reliable event flow and low latency.
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Security and Access
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Set up Amazon Cognito for authentication and authorization.
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Secure all public endpoints with TLS/HTTPS, and apply IAM least-privilege principles across all services.
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Monitoring and Reliability
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Configure Amazon CloudWatch logging, metrics, and alerts to track the demo’s health.
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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:
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3+ years of hands-on experience building and deploying on AWS.
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Expertise in serverless architecture: Lambda, DynamoDB, API Gateway, Kinesis (KVS/KDS), and Rekognition.
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Strong IaC skills using Terraform or AWS CDK.
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Python scripting experience for Lambda functions and automation.
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Familiarity with API Gateway (HTTP and WebSocket) for real-time communication.
Nice-to-have
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Experience with real-time streaming and ML-based services (Rekognition, SageMaker, OpenCV).
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Understanding of event-driven architectures — ordering, retries, and idempotency.
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Practical cost-optimization experience in AWS serverless environments.
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Familiarity with Cognito for authentication and access control.
Interview Steps
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GT interview with Recruiter
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Technical interview
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Final interview
To apply for this job please visit jobicy.com.
