Lead the design and implementation of backend services and core system components within the RHACS platform.
Build and evolve critical services, automation tooling, and Linux-based data collection systems with a strong focus on scalability, reliability, and performance.
Influence architectural decisions and contribute to the long-term technical direction of the platform.
Own the quality of your code and ensure systems are thoroughly tested, observable, and resilient.
Champion a “design-first” engineering culture by driving design document practices and structured technical reviews.
Build and improve automated testing frameworks for complex distributed systems.
Proactively identify technical gaps, emerging risks, and future scalability challenges in Kubernetes security.
Evaluate and introduce new technologies, frameworks, and languages that improve developer productivity and system robustness.
Partner closely with product managers, designers, and engineers to define and refine RHACS features.
Collaborate across teams to ensure alignment on architecture, priorities, and delivery timelines.
Diagnose and resolve complex customer issues involving Kubernetes, Linux internals, and distributed systems.
Provide deep technical insight and guidance to improve system reliability and customer experience.
Mentor engineers through code reviews, design feedback, and technical guidance.
Foster a culture of continuous learning, accountability, and engineering excellence.
Requirements
Master’s or Ph.D. in Computer Science, Engineering, or related STEM field with 5+ years of software engineering experience, or Bachelor’s degree with 7+ years of relevant experience in backend systems, security, or distributed systems.
Strong proficiency in backend development with experience in languages such as Go, C++, or similar.
Proven experience designing and building scalable, high-performance distributed systems.
Hands-on experience building RESTful and/or gRPC APIs in production environments.
Strong understanding of Kubernetes, including deployment, operations, and security in production environments.
Experience with infrastructure automation tools such as Terraform, Helm, or similar technologies.
Familiarity with system-level debugging, Linux internals, or security-focused engineering is highly desirable.
Strong advocate for automated testing, CI/CD, and high-quality engineering practices.