Live opening · Posted 2 days ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
Responsibilities:
Design, develop, and maintain scalable cloud-based applications using AWS services.
Collaborate with cross-functional teams to define, design, and ship new features.
Implement best practices for cloud architecture, security, and performance.
Automate deployment, monitoring, and management of cloud applications.
Write clean, efficient, and maintainable code and contribute to both front-end and back-end development as a full-stack engineer.
Build and integrate AI/ML-powered features and agents into applications using AWS AI services.
Apply AI-assisted development tools to accelerate software delivery, automate repetitive tasks, and improve code quality.
Troubleshoot and resolve issues related to cloud infrastructure and applications.
Stay up-to-date with the latest AWS technologies and industry trends.
Requirements:
Bachelor's or master's degree in computer science, engineering, or a related field.
3+ years of experience in software development.
Proficiency in AWS services such as EC2 S3 Lambda, RDS, and CloudFormation.
Strong programming skills in languages such as Java, TypeScript & Node.js
Experienced in deploying and managing applications using Red Hat OpenShift Service on AWS (ROSA), leveraging its robust platform for scalable and efficient cloud solutions.
Experience with containerization technologies like Docker and Kubernetes.
Familiarity with DevOps practices and tools.
Knowledge of CI/CD pipelines and tools like GitLab
Hands-on experience with AWS cloud services and building distributed systems.
Familiarity with AWS AI/ML services such as Amazon SageMaker, Bedrock, and AgentCore.
Demonstrated experience using AI-assisted development tools (e. g., GitHub Copilot, Claude, and Kiro) to accomplish tasks such as generating and reviewing code, writing and maintaining tests, creating documentation, and debugging, with the judgment to validate and own AI-generated output.
Understanding prompt engineering, AI workflows, or model integration patterns.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Experience working in cross-functional, multi-stakeholder environments.
Excellent communication and problem-solving skills.
Experience
2-4 yrs
Recently tracked roles with full details and direct application links.