- Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
- 5+ years of experience as a Software Engineer with a strong focus on backend development and building highly scalable microservices.
- In-depth understanding of AWS services, particularly DynamoDB, Lambda, SQS, EventBridge, AWS IoT, and their application in serverless architecture.
- Expert knowledge of GraphQL APIs and their implementation in backend systems.
- Experience with integrating AI/ML models into software applications is a major plus.
- Strong understanding and experience with Infrastructure as Code tools like CDK or CloudFormation.
- Proficiency in Git version control and code review practices.
- Excellent communication and collaboration skills to work effectively across cross-functional teams.
- Strong analytical and problem-solving skills.
- Excellent written and verbal English communication skills (minimum C1 level).
- Experience with CI/CD pipelines and deployment automation tools.
- Familiarity with containerization technologies like Docker and Kubernetes.
- Experience with CloudWatch for monitoring and logging.
- AWS Certification would be seen as a bonus.
Do you love building scalable and innovative backend systems in the cloud? Are you passionate about leveraging AI and ML models to drive real-world impact? If so, we have the perfect opportunity for you!
We’re seeking a talented and experienced Software Engineer to join our dynamic team and play a crucial role in developing and integrating cutting-edge backend services on AWS.
,[Collaborate with Architects, Product Owners (POs), and Data Scientists to understand customer needs, translate them into technical requirements for AI/ML model integration., Design, develop, test, and deploy robust backend microservices utilizing your expertise in AWS, event-driven architecture, and serverless technologies., Build and maintain GraphQL APIs to seamlessly integrate AI/ML models into the platform., Leverage your deep knowledge of AWS services, including DynamoDB, Lambda, SQS, EventBridge, and AWS IoT, to optimize performance and scalability., Actively participate in the creation and implementation of Infrastructure as Code (IaC) using CDK or CloudFormation to manage and provision AWS resources., Contribute to a strong engineering culture through code reviews, knowledge sharing, and collaboration with QA and DevOps teams., Continuously learn and apply best practices for security, performance optimization, and serverless architecture, particularly with regards to AI/ML integration.] Requirements: Node.js, Microservices, AWS, AWS DynamoDB, AWS Lambda, Amazon SQS, IoT, GraphQL, AI, Infrastructure as Code, AWS CDK, CloudFormation, Git, Communication skills Tools: Jira, Github, GitHub, Sonar. Additionally: Flat structure, Small teams, International projects.
GraphQL Git AWS certification SDK CI/CD Lambdas Artificial intelligence (AI) Backend Amazon Web Services (AWS) amazon-cloudwatch amazon-dynamodb Amazon EventBridge amazon-cloudformation Docker amazon-sqs Kubernetes IoT Machine Learning Software Engineer