Principal Software Engineer

As a Principal Software Engineer at Arctera, you will play a critical role in designing and developing core platform components, driving technical strategy, and mentoring the next generation of engineers. You will be expected to own end-to-end architecture and execution for key initiatives, collaborate with cross-functional teams, and raise the technical bar across the organization. Key Responsibilities: - Architecture & Design: Lead design and development of scalable, high-performance, and resilient systems. - Technical Leadership: Provide guidance, mentorship, and code/design reviews to engineers across teams. - Innovation: Evaluate new technologies, frameworks, and approaches to keep Arctera at the cutting edge. - Collaboration: Work closely with Product Management, QA, and Customer Engineering to deliver high-quality features. - Execution Ownership: Drive projects from concept to production with accountability for timelines and quality. - Best Practices: Define and enforce coding standards, CI/CD practices, testing strategies, and system observability. Required Skills & Experience: - Programming Languages: Strong proficiency in C programming (kernel and user space). - Operating System Internals: In-depth knowledge of Linux internals (processes, memory management, block layers, device drivers). - Multipathing & Block Storage: Good hands-on experience with block storage concepts such as multipathing, device-mapper, LVM. - Performance Optimization: Identifying and fixing performance regressions or bottlenecks. Debugging IO path performance issues using tools like blktrace, iostat, perf, etc. - Troubleshooting & Debugging: Kernel and user-space debugging using gdb, printk, strace. Effective communication within cross-functional teams (QA, PM, Support). - Soft Skills & Collaboration: Experience analyzing core dumps, memory leaks, and race conditions. Strong skills in interpreting logs and error codes for root-cause analysis. Preferred Qualifications: - Knowledge of DevOps practices, CI/CD pipelines, and infrastructure-as-code. - Exposure to AI/ML-driven automation or observability frameworks. - Contributions to open-source projects or patents/publications in relevant domains. Omitting additional details of the company as they were not provided in the job description.,