[Remote] Software Engineer
Note: The job is a remote job and is open to candidates in USA. Origin is building an AI observability platform for organizations adopting AI. They are seeking a Software Engineer to design and implement solutions across their tech stack, focusing on data collection, analysis, and customer interface.ResponsibilitiesObsess over customer problems and ship for velocity and impact over technical pedantryShip across the stack - agent, backend, infrastructure, and frontend - wherever the work is that weekBuild internal agents that automate the repeatable parts of engineering and distribute them across the teamDefine how AI-native engineering works at Origin: the context, permissions, and tooling our agents need to do real workDesign and operate distributed systems using AWS, EKS, Clickhouse, and Kafka against real production SLAsDrive technical decisions on storage schemas, API contracts, and the patterns that hold up at scale in a multi-tenant environmentWork alongside research and systems-internals engineers to turn their work into reliable production softwareSkillsAI-native engineering practice: prolific use of Claude Code, Codex, and OpenCode, with the judgment to know when an agent will go off the rails and the skill to redirect itTrack record of building data-intensive systems at scale (millions of concurrent operations, high-throughput event processing, distributed coordination)Deep understanding of distributed systems principles: streaming, batching, backpressure, recovery, and consistency modelsPerformance engineering mindset: complexity analysis, profiling-driven optimization, and discipline under resource constraintsModern systems programming experience, Rust preferred (we value problem-solving ability over specific language expertise)Strong working fluency in Python across services, inference pipelines, and toolingProduction experience with cloud infrastructure (AWS preferred), Kubernetes (EKS or equivalent), and event streaming (Kafka or equivalent)Comfortable working in our React frontend to deliver functionality to end usersHigh agency, with a track record of identifying important work and finishing itObsess over customer problems and ship for velocity and impact over technical pedantryShip across the stack - agent, backend, infrastructure, and frontend - wherever the work is that weekBuild internal agents that automate the repeatable parts of engineering and distribute them across the teamDefine how AI-native engineering works at Origin: the context, permissions, and tooling our agents need to do real workDesign and operate distributed systems using AWS, EKS, Clickhouse, and Kafka against real production SLAsDrive technical decisions on storage schemas, API contracts, and the patterns that hold up at scale in a multi-tenant environmentWork alongside research and systems-internals engineers to turn their work into reliable production softwareBackground in real-time monitoring or observability infrastructure (Palantir, Datadog, Honeycomb, Chronosphere, the data side of Stripe or Cloudflare)Background in high-throughput systems (high-frequency trading, real-time telemetry, low-latency distributed systems)Background in AI infrastructure or applied ML, particularly inference pipelines, embedding and topic systems, or agent orchestrationPrior founding-engineer or early-stage startup experienceOpen-source contributions or published research in AI tooling, agent frameworks, or developer infrastructureData engineering experience with columnar databases or OLAP / time-series systemsDeep OS internals knowledge (Windows ETW, Apple ESF, eBPF)Cross-platform systems expertise (Windows and macOS)BenefitsGenerous healthcareFlexible PTOHome-office supportCompany OverviewAI agents are already running across your organization. The ones you know about, and the ones you donβt. It was founded in 2025, and is headquartered in , with a workforce of 11 - 50. Its website is https://www.originhq.com.