Senior Software Engineer (Platform)

Join a team of expert engineers to tackle true full-stack challenges, significantly elevating company development efficiency. Drive projects that span backend and infrastructure enhancements, frontend web development, and CI/CD automation.

Analyze current software systems and leverage multiple technologies to solve technical, architectural, and/or organizational problems, focusing on velocity, quality, security, and cost.

Diagnose and resolve advanced system-level performance bottlenecks, including identifying and addressing kernel-level factors that impact CPU and overall system efficiency.

Lead the entire lifecycle of platform projects designed to improve developer efficiency and core infrastructure, from conceptual design and architecture through to deployment and post-launch support.

Operate with a high degree of autonomy and initiative in a fast-paced, agile environment to drive projects forward and deliver results.

Design and implement robust, scalable distributed systems that are foundational to multiple products and services across the organization.

Total 5+ years of professional experience in one of these roles: Software Engineer, Platform Engineer, DevOps, or SRE.

Mastery of software engineering fundamentals: data structures, algorithms, design patterns, testing strategies, and modern code review practices.

Demonstrated ability to deep-dive into core system fundamentals and software implementation to extract maximum performance given available resources.

Genuine intellectual curiosity about how systems work at every level, instinctively asking "why?" and "how?" from service architecture and application code down to the operating system and hardware-level bit manipulation.

Deep understanding of distributed systems fundamentals: consensus algorithms, the CAP theorem, eventual consistency, and service mesh architectures.

Keen eye for inefficient processes and a genuine desire to fix them, improving the quality of life for other engineers.

Proficiency and hands-on expertise with at least one major cloud provider (AWS, GCP, and/or Azure).

Expert-level knowledge of Docker and Kubernetes in production environments.

Extensive knowledge of CI/CD pipelines and automation tools.