Software Engineer, Systems

Responsibilities

• Design and implement scalable, reliable systems infrastructure components spanning distributed computing, storage, networking, or runtime environments
• Own end-to-end technical design for systems-level projects, evaluating architectural trade-offs and driving decisions that balance performance, reliability, and maintainability
• Instrument systems with telemetry, dashboards, and alerting to establish visibility into performance bottlenecks, reliability regressions, and failure modes
• Lead incident response and root cause analysis for production systems issues, authoring retrospectives and driving follow-up improvements to prevent recurrence
• Define and enforce service level objectives for owned systems, building debugging runbooks and mitigation playbooks to reduce mean time to resolution
• Collaborate with cross-functional partners across product engineering, infrastructure, and security to ensure systems designs meet privacy, security, and integrity requirements
• Drive engineering efficiency by identifying development bottlenecks, building internal tooling and automation, and completing migrations that eliminate legacy technical debt
• Mentor other engineers on systems design principles, coding standards, and operational best practices, and contribute to recruiting and technical program efforts
• Analyze performance profiles using instrumentation and profiling tools to identify hotspots and drive targeted optimizations across the systems stack
• Communicate technical decisions, trade-offs, and project status clearly to stakeholders across engineering levels and cross-functional roles

Minimum Qualifications

• 6+ years of experience in systems software engineering, including work on distributed systems, storage systems, networking infrastructure, or operating system-level components
• Experience designing and implementing large-scale, production systems with well-defined reliability, performance, and operational requirements
• Experience debugging complex, non-reproducible systems issues using advanced tooling such as profilers, static analyzers, tracing frameworks, or custom instrumentation
• Experience establishing observability for production systems through metrics, dashboards, alerting, and service level objectives
• Experience driving cross-team technical projects from design through production, including dependency coordination, staged rollout planning, and post-launch monitoring

Preferred Qualifications

• Familiarity with resiliency testing methodologies such as overload testing, chaos engineering, or fault injection for distributed systems
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with systems programming languages such as C, C++, Rust, or Go in a production environment
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience contributing to platform or infrastructure projects that are consumed by multiple product or engineering teams
• Track record of improving developer productivity through tooling, automation, or codebase modernization efforts at an organizational scale
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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