AWS Engineer - Multiple Teams

<strong>Job Requirements </strong><br><p>At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.<br><br><strong>Job Summary</strong></p><p>We are seeking a highly skilled <strong>AWS Engineer</strong> with strong experience in cloud-native application development, microservices architecture, and modern software engineering practices. The ideal candidate should possess hands-on expertise in <strong>AWS Services</strong>, <strong>Java or Python development</strong>, <strong>Microservices</strong>, and exposure to <strong>AI/GenAI solutions and AI Development Life Cycle (AIDLC)</strong>.</p><p>The candidate will be responsible for designing, developing, deploying, and maintaining scalable cloud-based applications while supporting AI-enabled solutions and modern engineering practices<br><br> </p><p> </p><br><br><strong>Work Experience </strong><br><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and deploy scalable applications on AWS Cloud.</li><li>Develop RESTful APIs and Microservices using Java (Spring Boot) or Python (FastAPI/Flask).</li><li>Build cloud-native solutions leveraging AWS managed services.</li><li>Develop and maintain CI/CD pipelines for automated build, deployment, and monitoring.</li><li>Participate in system design, architecture reviews, and cloud optimization initiatives.</li><li>Collaborate with AI/ML teams to integrate AI and Generative AI capabilities into business applications.</li><li>Support end-to-end AI Development Life Cycle (AIDLC)</li><li>Implement security, scalability, observability, and reliability best practices.</li><li>Troubleshoot application, infrastructure, and performance issues.</li><li>Mentor junior engineers and contribute to engineering best practices.</li></ul><p> </p><p><strong>Required </strong></p><ul><li>Strong experience with AWS Cloud Services (EC2, Lambda, ECS/EKS, API Gateway, S3, RDS, DynamoDB, IAM, CloudWatch).</li><li>Proficiency in Java (Spring Boot) or Python (FastAPI/Flask).</li><li>Experience developing Microservices and REST APIs.</li><li>Hands-on experience with Docker, Kubernetes, CI/CD, and Infrastructure as Code.</li><li>Knowledge of SQL/NoSQL databases and event-driven architectures.</li><li>Hands-on experience  of AI Development Life Cycle (AIDLC).</li><li>Good understanding of application security, cloud security, and DevSecOps practices.</li><li>6 to 9 total years of experience<br> </li></ul><p><strong>Nice to have</strong></p><ul><li>AI assisted development <br> </li></ul><br><br>