• Develop features and improvements to the product in a secure, well-tested, and performant way • Work in a cross-functional team that touches all of the core systems and user flows • Suggest new approaches and best practices in software engineering and architecture design

• Analyze and optimize system performance (CPU usage, scheduler latency, memory footprint, I/O performance) • Work with Linux Kernel internals (scheduler, memory management, IRQ/driver stack) • Perform tracing and analysis using tools such as KernelShark, trace-cmd, and ftrace • Identify performance bottlenecks and regressions • Debug embedded systems using tools like strace, dmesg, perf, and LTTng • Build and maintain Yocto-based Linux distributions • Create and optimize system images (poky, bitbake, layers) • Develop and maintain custom recipes and meta-layers • Work with the Linux networking stack (netlink, TC, eBPF) • Implement and modify XDP/eBPF programs (e.g., packet filtering, traffic analysis)

Our customer's product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries, including healthcare, to optimize processes, improve customer experiences, and support innovation. It integrates easily with existing systems, making it easier for teams to make quick, data-driven decisions to deliver cutting-edge solutions.

• Provides expertise in software development and operational support for an application that interfaces with hospitals’ electronic health records (EHRs) • Contributes to the design, development, and enhancement of application features • Ensures reliable system operations, data flow, and technical troubleshooting • Performs hands-on engineering and supports daily operational needs as the product matures • Design, develop, and implement software solutions that enhance application functionality, reliability, and performance • Work closely with engineering and support teams to troubleshoot, diagnose, and resolve technical issues • Write clean, maintainable, and efficient code for application components, internal tools, and automation • Establish and contribute to best practices for operational support, monitoring, and knowledge-sharing • Provide technical guidance to team members and collaborate across engineering, DevOps, product, and support teams • Lead and contribute to code reviews to ensure high-quality, maintainable code • Facilitate discussions about design choices, tradeoffs, architecture, and emerging patterns • Design and develop complex back-end services using .NET Core/C# • Lead the development and implementation of frontend applications using Angular and TypeScript • Design and maintain relational and NoSQL databases to support scalable data processing and application workflows • Implement and support event-driven architectures, including messaging technologies such as Kafka and RabbitMQ • Ensure security, scalability, observability, and performance of applications deployed on Cloud platforms, especially Azure • Collaborate with DevOps teams to ensure robust CI/CD pipelines, Git workflows, telemetry, and monitoring are in place