Cloud Engineer (Python, AWS) - TK

AWS + Variable Bonus

Hybrid work mode (2 days work from home)

Working location: Central area (9 am to 6 pm)

Cloud Engineer (Python, AWS)

The Cloud Engineer (Python, AWS) will be responsible for designing, implementing, and maintaining cloud infrastructure and backend services, contributing to architecture decisions with senior engineers. This is a hands-on cloud/backend role supporting our telematics data platform, you will work across infrastructure, data pipelines, and integration APIs.

We are looking for someone who is proactive and collaborative, with strong ownership and a practical approach to solving production problems.

Job Responsibilities:

Build and maintain AWS infrastructure for our telematics analytics platform using Infrastructure as Code (IaC) principles

Develop and optimize Python services, SQL schemas, and data workflows

Implement security, monitoring, and cost controls following team standards

Build & maintain APIs/SDKs that enable secure client integration with our platform

Collaborate with data, product and business teams to develop innovative cloud solutions.

Job Requirements:

Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, or related field

2–3 years of professional experience in Cloud Engineering, Backend Development, or Data/Platform engineering.

Minimally 2 years of experience in Python

Minimally 1-2 years of hands-on experience building and maintaining AWS services in production

Strong understanding of database schema design and SQL querying

Experience with Git/GitLab and CI/CD pipelines

Knowledge of AWS Cloud principles and the well-architected framework.

Technical Skills:

Programming Languages: Python

AWS: Lambda, RDS, S3, Step Functions, API Gateway, CloudFormation, CloudFront, VPC, CloudWatch, SNS/Eventbridge

Database Technologies: SQL, Database Schema Design

Additional Skills: AWS Cloud Security, GitLab, Git

Preferred:

AWS certifications are a plus

Experience integrating AI/ML capabilities into applications is a plus

Experience building dashboards, internal tools, or web-based data visualization interfaces is a plus

Knowledge of Machine Learning and Data Analytics concepts is a plus

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