• Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders • Design and scale distributed systems using Kotlin, Java, and Spring Boot. • Build and optimize data-intensive applications with Postgres, Kafka, and Redis/Redis PubSub. • Drive system reliability, scalability, and performance across services and infrastructure. • Partner with product and engineering leadership to align technical strategy with business goals. • Mentor engineers and set standards for coding, design, and best practices. • Actively participate in code reviews, maintain technical documentation, and adhere to best software development practices

• Design, develop, and optimize API services with a keen focus on scalability, reliability, and performance. • Collaborate with cross-functional teams, understanding requirements and ensuring that the backend solutions integrate seamlessly with other components. • Uphold a high standard of code quality through code reviews, testing, and adherence to best practices. • Diagnose and resolve backend issues, aiming for minimal downtime and optimum performance. • Stay updated with the latest industry trends, technologies, and best practices in backend development. • Provide insights and feedback to the Tech Lead and other stakeholders, ensuring the technical feasibility and timeline of backend solutions.

• Design, develop, and maintain scalable back-end systems, APIs, and microservices. • Integrate AI/ML models (NLP, computer vision, recommendation systems, etc.) into production applications. • Collaborate with front-end developers, AI/ML engineers, and data scientists to deliver end-to-end AI-powered features. • Optimize databases, APIs, and system performance to handle large-scale data processing and real-time AI inference. • Implement secure authentication, authorization, and data protection practices. • Build and manage data pipelines to support training, testing, and deployment of AI models. • Monitor, debug, and improve system reliability and AI feature performance. • Stay current with emerging technologies in AI/ML, cloud services, and back-end frameworks.

• Lead the design and implementation of advanced solutions that drive our client's technology evolution. • Craft scalable and secure architectures that meet complex business needs while ensuring high performance and reliability. • Collaborate with cross-functional teams and provide technical leadership. • Transform business objectives into technical solutions and guide the architectural vision. • Engage with stakeholders throughout the project lifecycle.