Cloud Engineer (Backend Development) - TK

• Hybrid work mode (2 days work from home)
• Working location: Central area (9 am to 6 pm)

The Cloud Engineer (Backend Development) 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’ll 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.

• 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.

• 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.

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


• Additional Skills: AWS Cloud Security, GitLab, Git

• 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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