Tasks
Design, develop, and operate scalable, secure, and high-performance SaaS applications using AWS-native services;
Implement microservices-based solutions with clear separation of concerns and well-defined APIs;
Develop and integrate IoT systems using Raspberry Pi, embedded Linux, and sensors;
Bridge the gap between hardware data and cloud platforms, ensuring reliable and secure data transmission and processing;
Operationalize ML models using platforms such as TensorFlow, PyTorch, MLflow, or SageMaker;
Ensure reproducibility, versioning, and scalability of ML pipelines in production environments;
Build and manage cloud infrastructure using AWS services such as EC2, S3, Lambda, RDS, DynamoDB, CloudFormation, Elastic Beanstalk, and API Gateway;
Automate infrastructure provisioning and resource orchestration using AWS CLI and SDKs;
Develop intuitive, responsive UIs using TypeScript and modern frameworks like React.js or Angular;
Build and maintain backend services in Python, integrating with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases;
Establish and maintain CI/CD pipelines using GitHub/GitLab CI and Docker for seamless integration, testing, and deployment;
Implement comprehensive automated testing strategies, including unit, integration, and functional tests, to maintain software reliability.
QualificationsQualificationsQualifications
Experience in working with raspberry Pi, embedded Linus, Sensors and Python;
Experience in machine learning lifecycles in production environments (tensorflow, pytorch, MLflow or Sagemaker);
Profound knowledge in AWS services (EC2, S3, Lambda, RDS, DynamoDB, CloudFormation, Elastic Beanstalk, API Gateway), Experience in automizing AWS resources via AWS CLI and SDKs;
Advanced skills in TypeScript and Python. experienced in JavaScript, HTML5, CSS3;
Experienced in working with frameworks and libraries like React.js or Angular. Understanding of responsive design, cross-browser compatibility and frontend performance optimization;
Experienced in relational DBs (e.g. PostgreSQL, MySQL) and NoSQL DBs (e.g. MongoDB, DynamoDB);
Expertise in implementing Continuous Integration and Continuous Deployment Pipelines using Tools like Github/GitLab CI and Docker;
Expertise in implementing automated tests (unit integration and functional testing);
Soft Skills: strong analytical skills, team player, self-organized work, high willingness to learn.
Things to know before departure:
Start: by arrangement - always on the 1st and 15th of the month
Working hours: full time (40h); 27 vacation days
Employment contract: CIM, Unlimited
Line of work: Consulting
Language skills: Fluency in written and spoken English
Flexibility & willingness to travel
Other: a valid work permit
For more detail, salary and company information, use the apply link
