• Stay up-to-date with emerging technologies, frameworks, and industry trends related to payment systems and cloud computing • Design and implement microservices-based architecture using domain-driven design principles • Utilize Kubernetes for container orchestration and management, ensuring scalability, reliability, and high availability of the payment system • Implement robust monitoring, logging, and alerting mechanisms to ensure system performance and availability • Develop highly resilient and highly available components for the payment system • Conduct technology evaluations and provide recommendations for new tools, technologies, and frameworks that can enhance our payment infrastructure • Mentor and provide technical guidance to junior team members, fostering a culture of continuous learning and professional growth

• Work as an individual contributor within the Cloud development platform team, focused on developing and maintaining an in-house built CI/CD automation pipeline • Highly advanced knowledge of Release automation using CI/CD products that is applied to advance the goals and objectives of the team and department • Recognized by the team as an expert in CI/CD automation • Deploy critical infrastructure components through Infrastructure-as-Code tooling across multiple environments using Terraform integrated through Azure DevOps • Manages activities within a department, developing tactical plans for strategy and implementation for release automation for varying maturity levels of software products • Support the development of compelling features using modern tools and technologies with a focus on building future-proof systems that perform at scale • Architecting and developing stateless and stateful applications using AWS cloud technologies • Provide software development knowledge with respect to cloud architecture, design patterns, and programming • Establishes Cloud Infrastructure Design best practices, templates, and processes • Collaborates with external and internal partners, participates, and suggests design and architectural decisions

• Lead the design, development, and optimization of robust frontend systems for deploying LLM-based algorithms and services. • Manage projects through their complete lifecycle—from architecture to deployment, monitoring, and improvement. • Work with other engineering teams to understand use cases and deliver scalable platform solutions. • Develop high-quality, maintainable code using a modern tech stack. • Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects.

• Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproduction, and solving problems for customers installing our products and supporting systems • rapid debugging and response to user-reported issues via telephone, email or conference calls on the DGX Platform (hardware and software) stack including but not limited to resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors. • ability to apply industry standard AI Tools to efficiently share debugging results, create internal/external knowledge base articles & analyze customer issues thereby helping to develop, re-define and document standard methodologies to provide to internal teams (Support/R&D) for support process and improvements. • participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc.