- Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
- 3+ 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.
- 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 CloudWatch for monitoring and logging.
- AWS Certification(s) 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.
,[Design, develop, test, and deploy robust backend microservices utilizing your expertise in AWS, event-driven architecture, and serverless technologies., Collaborate with Architects, Product Owners (POs), and Data Scientists to understand customer needs, translate them into technical requirements for development tasks., Build and maintain GraphQL APIs., 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.] Requirements: Node.js, Microservices, AWS, AWS DynamoDB, AWS Lambda, Amazon SQS, GraphQL, Infrastructure as Code, AWS CDK, CloudFormation, Git, Communication skills, CloudWatch Tools: Jira, Confluence, GitHub, Sonar, Agile, Scrum, Kanban.
Code review Agile API Infrastructure as Code (IaC) Analytical skills Backend Amazon Web Services (AWS) Node.js Computer Science aws-iot Communication Amazon EventBridge amazon-dynamodb Engineering microservices GraphQL Git AWS certification SDK sonarqube Lambdas Problem-solving Confluence amazon-cloudwatch logging Jira amazon-cloudformation GitHub amazon-sqs monitoring Scrum Kanban Software Engineer