• Architect, design, and implement core components within our COBOL development tools, runtime environments, and mainframe replatforming infrastructure. • Provide technical direction across multiple engineering teams building compilers, runtimes, middleware, and large-scale distributed systems. • Drive modernization strategies for legacy application ecosystems, including cloud migration, workload transformation, and hybrid deployment scenarios. • Own complex technical domains end-to-end, from design through production, balancing long‑term architecture with immediate product needs. • Build highly reliable, scalable, and secure infrastructure software used in mission‑critical enterprise environments. • Conduct deep code reviews, troubleshoot production issues, and mentor engineers in system-level design and performance optimization. • Collaborate with product management to shape roadmap priorities and translate customer challenges into technical solutions. • Work with QA, DevOps, and release engineering to ensure high-quality, low‑risk releases across a diverse product portfolio. • Introduce and champion engineering excellence practices, including automated testing, performance benchmarking, observability, and maintainability.

• 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.