Senior SDE

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.
Mentor and guide junior engineers, fostering a culture of continuous improvement.
Stay up-to-date with the latest AWS technologies and industry trends.
Requirements:
4-7 years of experience in software development with Java 11+/J2EE in the Spring Boot backend and Angular in the front end, with a focus on cloud technologies.
Proficiency in AWS services such as EC2 S3 Lambda, RDS, and CloudFormation.
Familiarity with DevOps practices and tools.
Knowledge of CI/CD pipelines and tools like Jenkins, GitLab, or AWS CodePipeline.
Hands-on experience with AWS cloud services and building distributed systems.
Experience integrating AI/ML capabilities into applications (e. g., personalization, NLP, and recommendations).
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 of prompt engineering, AI workflows, or model integration patterns.
Experience working with generative AI or LLM-based solutions is highly desirable.
Experience working in distributed agile teams using agile frameworks such as SCRUM, SAFe, XP, etc.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Execute with a Sense of Urgency
Consistently prioritizes safety and security of self, others, and personal data.
Embraces diverse people, thinking, and styles.
Preferred qualifications:
A bachelor's degree in computer science, information systems, or a related technical field is preferred.
Experience working in an airline technology environment is preferred.
AWS Certified Developer certification.
Experience with a modern front-end framework is a plus.
Experience with microservices architecture and serverless computing.
Understanding of networking and security principles in cloud environments.
Familiarity with Model Context Protocol (MCP) for connecting AI models to external tools and data sources.

Experience
4-7 yrs