At Setu, my focus as Senior Engineering Manager is on refining Automation/Dev support processes and architecting robust automation frameworks, Defining process for Devsupport, Quick resolution to Customer issues , These efforts have been instrumental in streamlining product release cycles, ensuring that our financial solutions adhere to the highest quality standards. Our team's commitment to process optimisation has been a driving force in delivering cutting-edge services that resonate with our customers' evolving needs.With expertise in Pytest framework deployment and a knack for orchestrating end-to-end product delivery, my role encompasses a broad range of responsibilities, from development to production. This tenure has seen the creation of seamless integration across varied platforms, a testament to our dedication to excellence. Our proactive approach to defect triage and utilizing FastAPI demonstrates our agility in adapting to the dynamic FinTech landscape.Also as Senior Manager for Dev Support is responsible for overseeing and managing the technical support team to ensure high-quality assistance for software developers and customers. They lead and mentor the team, define support strategies, and implement processes that enhance the customer experience and efficiency of issue resolution. This role typically involves collaborating with cross-functional teams, analyzing complex technical problems, optimizing workflows, and driving continuous improvement in service quality. Strong leadership, deep technical expertise, and a customer-focused approach are essential qualities for success in this position.Also utilizing LLM (Large Language Model) developing intelligent solutions to streamline information security compliance, automate support workflows, and optimize development support processes. This role involves leveraging AI capabilities to create automation tools that address compliance requirements, build advanced ticketing and issue resolution systems, and ensure effective knowledge management. The position requires a blend of technical proficiency, strategic thinking, and leadership to implement AI-driven innovations that enhance efficiency, improve support quality, and maintain high standards of security and compliance across the organization.
Listed skills include C, Linux, Unix, Testing, and 24 others.
