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.
Responsibilities
- Obsess over customer problems and ship for velocity and impact over technical pedantry
- Ship across the stack - agent, backend, infrastructure, and frontend - wherever the work is that week
- Build internal agents that automate the repeatable parts of engineering and distribute them across the team
- Define how AI-native engineering works at Origin: the context, permissions, and tooling our agents need to do real work
- Design and operate distributed systems using AWS, EKS, Clickhouse, and Kafka against real production SLAs
- Drive technical decisions on storage schemas, API contracts, and the patterns that hold up at scale in a multi-tenant environment
- Work alongside research and systems-internals engineers to turn their work into reliable production software
Skills
- AI-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 it
- Track 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 models
- Performance engineering mindset: complexity analysis, profiling-driven optimization, and discipline under resource constraints
- Modern systems programming experience, Rust preferred (we value problem-solving ability over specific language expertise)
- Strong working fluency in Python across services, inference pipelines, and tooling
- Production 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 users
- High agency, with a track record of identifying important work and finishing it
- Obsess over customer problems and ship for velocity and impact over technical pedantry
- Ship across the stack - agent, backend, infrastructure, and frontend - wherever the work is that week
- Build internal agents that automate the repeatable parts of engineering and distribute them across the team
- Define how AI-native engineering works at Origin: the context, permissions, and tooling our agents need to do real work
- Design and operate distributed systems using AWS, EKS, Clickhouse, and Kafka against real production SLAs
- Drive technical decisions on storage schemas, API contracts, and the patterns that hold up at scale in a multi-tenant environment
- Work alongside research and systems-internals engineers to turn their work into reliable production software
- Background 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 orchestration
- Prior founding-engineer or early-stage startup experience
- Open-source contributions or published research in AI tooling, agent frameworks, or developer infrastructure
- Data engineering experience with columnar databases or OLAP / time-series systems
- Deep OS internals knowledge (Windows ETW, Apple ESF, eBPF)
- Cross-platform systems expertise (Windows and macOS)
Benefits
- Generous healthcare
- Flexible PTO
- Home-office support
Company Overview
AI agents are already running across your organization. The ones you know about, and the ones you don’t. It was founded in 2025, and is headquartered in , with a workforce of 11 - 50. Its website is https://www.originhq.com.