• Backend Development: Implement medium- to high-complexity, scalable solutions autonomously. • Quality and Testing: Ensure clean, secure code with unit and integration test coverage, and participate in code reviews. • Security: Apply Security by Design principles throughout the development lifecycle. • Support and Observability: Investigate production incidents independently and use tracing and logging tools to optimize performance. • Architecture and Documentation: Collaborate on technical solution design with specialists and maintain detailed documentation. • Innovation and Mentorship: Explore technologies such as Artificial Intelligence (AI) and act as a technical reference/ informal mentor for junior developers.

• Designing, developing, and enhancing web and service based applications that support participant communications. • Contributing across the full application stack, including UI development (Web Forms/MVC/Angular/HTML/JavaScript), APIs, business logic, and database components. • Supporting applications through monitoring, troubleshooting, incident resolution, and root cause analysis. • Collaborating with product owners, analysts, QA, architects, and teammates as part of an Agile delivery process. • Building solutions that improve automation, scalability, and efficiency for document creation, content delivery, and print/fulfillment workflows. • Maintaining and extend systems related to document lifecycle management, versioning, content approvals, and secure distribution. • Implementing performance and stability enhancements for high-volume processing systems.

• Architect and implement systems that collect, store, and surface insights from large-scale creative and performance datasets. • Build robust APIs empowering clients, dashboards, and data consumers across the company. • Improve how marketers visualize and act on creative data through unified, reliable backend systems. • Diagnose and solve performance bottlenecks, infrastructure challenges, and integration issues. • Collaborate with a talented team to evolve architecture, tooling, and development processes as we grow.

• Develop, train, fine-tune, and deploy machine learning models using TensorFlow, PyTorch, scikit-learn, and NumPy. • Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Systems, NLP, and computer vision. • Integrate and utilize pre-trained AI models, including those in AWS Bedrock. • Optimize AI model performance, scalability, and efficiency. • Design and develop RESTful APIs using Flask or FastAPI for AI model deployment. • Implement robust microservices architecture for AI-based applications. • Ensure secure, efficient, and scalable backend AI solutions. • Deploy AI solutions using AWS Bedrock and integrate with services like S3, Lambda, SageMaker, ECS/EKS, and IAM. • Manage cloud infrastructure provisioning, cost optimization, and security policies. • Work with CI/CD pipelines for seamless AI model deployment. • Utilize Docker and Kubernetes for containerized deployments. • Design, query, and optimize relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB) databases. • Develop and automate data pipelines using Apache Airflow, AWS Glue, or Spark. • Implement ETL processes for AI data handling. • Collaborate with data scientists, engineers, and product managers to integrate AI into applications. • Write clear documentation for AI models, workflows, and deployment processes. • Explain AI concepts to non-technical stakeholders when required.