• Develop and manage RESTful APIs and backend services • Design and implement API orchestration services • Build Jobs and Batch processes for workflow customization • Create and manage integrations between InsureMO and external platforms • Develop custom backend assets (Java / SQL) to address requirements beyond InsureMO platform capabilities • Ensure proper data persistence, processing, and performance • Support testing, debugging, and production issue resolution • Collaborate with cross-functional teams to translate business requirements into technical solutions • Maintain technical documentation and follow engineering best practices

• Provide technical leadership to the development team, ensuring designs and architecture comply with strategic standards and best practices. • Collaborate effectively with other teams and departments to meet project objectives on time. • Actively participate across the agile development lifecycle: from writing user stories to production release. • Design, develop, test, and deliver features that create real value for our customers. • Define and contribute non-functional requirements that promote the long-term health, scalability, and stability of applications. • Apply secure development practices and stay current with industry trends. • Mentor junior engineers and promote high-quality development standards. • Communicate technical concepts to both technical and business audiences.

• Lead, mentor, and manage a team of software developers, fostering a culture of collaboration, continuous learning, and adherence to XP/Agile principles. • Drive the adoption and implementation of AI, LLMs, vectorized database solutions, and other advanced technologies across products. • Provide technical leadership in Python development, Azure cloud architecture, and CI/CD pipelines, guiding the team to make informed technology choices. • Participate in product scoping, discovery, and design in close collaboration with Digital Product Managers, translating user features into scalable system designs. • Lead Agile Ceremonies: retrospectives, standups, inceptions, and iteration planning meetings, encouraging team feedback and continuous improvement. • Shape product architecture, design patterns, and technical roadmaps for AI-driven initiatives and cloud-native applications. • Establish and optimize continuous integration, delivery, and deployment practices, ensuring high-quality, reliable software releases. • Collaborate across product portfolios and technology teams to align strategies, share knowledge, and ensure technical excellence. • Serve as a subject-matter expert on AI, LLMs, vectorized databases, cloud technologies, Python, and modern software development practices.

• Develop, maintain, and optimize databases supporting enterprise analytics workloads across cloud and on-premise environments • Implement data storage solutions that align with data modeling and AI integration needs, including relational and non-relational structures • Monitor database performance, execute tuning procedures, and resolve bottlenecks or failures proactively • Design and maintain database schemas, indexes, and partitioning strategies to support query efficiency and AI-driven analytics • Support data access, backup, and recovery strategies in accordance with organizational standards and compliance requirements • Ensure data integrity and security by applying role-based access controls, encryption standards, and audit logging • Collaborate with analytics engineers and platform teams to streamline data ingestion and integration into analytics environments • Participate in capacity planning and forecast database infrastructure needs based on product roadmaps • Document database configurations, operational procedures, and change management logs • Conduct root cause analysis and propose structural changes to improve system reliability • Support release management for changes impacting database environments across staging and production