Lead the design, development, and deployment of full stack solutions for customer communications, focusing on AWS cloud-native architectures. Architect and implement RESTful APIs, microservices, and event-driven solutions to replace legacy systems. Collaborate with business stakeholders to translate requirements into modern technical solutions that drive customer engagement. Ensure code quality through rigorous reviews, test-driven development, and continuous integration practices. Mentor junior engineers and foster a culture of technical excellence and innovation. Drive adoption of Gen. AI tools, automation, and DevOps best practices to accelerate modernization. Maintain application stability, security, and performance in a fast-paced, cloud-first environment. Required Skills & Qualifications 7 years of hands-on experience in full stack software development, including cloud migration and modernization projects. Strong experience in Java (Spring Boot), JavaScript/ Type. Script, Python, and front-end frameworks (Angular/ React). Strong experience with AWS cloud services (Lambda, ECS, EKS, RDS, S 3, IAM, SNS, SQS, Event. Bridge) and cloud-native architecture. Expertise in designing and consuming REST/ SOAP APIs, microservices, and integrating with vendor systems. Solid understanding of relational databases (SQL Server, Oracle). Experience with DevOps tools (GitHub, Jenkins, Docker, Terraform, Rally, Sonar. Qube). Familiarity with Agile/ Scrum methodologies. Excellent technical leadership, analytical, problem-solving, and communication skills. Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred). Preferred Qualifications. Experience with Infrastructure as Code (Cloud. Formation, Terraform, CDK). Experience with customer communications platforms and modernization initiatives. Exposure to industry communications platforms (OpenText, Smart. COMM, Quadient). Experience leveraging Gen. AI tools (GitHub Copilot, prompt-based dev tools). Advanced degree or certifications in cloud, AI, or related technologies. This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation.