Senior Software Engineer - LLM Observability
New
United StatesFull-TimeSenior
Salary183,340 - 206,000 USD per year
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Job Details
- Required Skills
- Backend DevelopmentFrontend DevelopmentSoftware ArchitectureTypeScriptGoReactDistributed Systems
Requirements
- Extensive experience designing, building, and maintaining backend systems and APIs using Go or comparable programming languages.
- Professional experience delivering full-stack software solutions, including frontend development with React and TypeScript.
- Proven ability to lead large-scale technical projects involving multiple teams, systems, or external dependencies.
- Strong understanding of software architecture, API design, scalability, observability, and production operations.
- Demonstrated ownership mindset with the ability to independently identify problems, drive solutions, and manage projects end-to-end.
- Experience mentoring engineers, leading technical discussions, and improving engineering standards within a team.
- Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical stakeholders.
- Experience supporting software in production environments and contributing to operational excellence.
- Interest in observability technologies, distributed systems, and AI-powered applications.
- Familiarity with AI-assisted development tools and workflows is considered a plus.
Responsibilities
- Design, develop, and maintain scalable backend systems, APIs, and services with a strong focus on performance, reliability, and maintainability.
- Build and enhance full-stack product capabilities using modern frontend and backend technologies, delivering impactful customer-facing features.
- Define technical patterns, best practices, and operational standards that improve engineering quality and scalability across teams.
- Lead complex cross-functional projects, coordinating dependencies and ensuring successful delivery from planning through deployment.
- Collaborate closely with product managers and designers to shape solutions, prioritize initiatives, and align technical decisions with business goals.
- Support production systems through monitoring, troubleshooting, and participation in on-call rotations, ensuring high service reliability.
- Contribute to AI observability infrastructure by helping standardize telemetry models and enabling deeper visibility into AI workloads.
- Mentor engineers, conduct technical reviews, and promote knowledge sharing to elevate overall team effectiveness.
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