Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API
ClickHouse @ 2
Distributed Systems @ 6
Go @ 5
Grafana @ 2
Kafka @ 3
Kubernetes @ 3
Observability @ 2
OpenTelemetry @ 2
Prometheus @ 2
Redis @ 3
Rust @ 5
Scala @ 5
VictoriaMetrics @ 2
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The team is small, highly motivated, and focused on engineering excellence. Employees are expected to be hands-on, communicate clearly, and contribute directly to the company's mission.
About the Role
The Observability team builds and operates the core infrastructure that enables engineers to monitor, debug, and optimize the performance and reliability of their systems. The team handles telemetry at massive scale, including billions of time series and petabytes of logs, with strict performance and availability requirements.
You will join a small, high-impact team responsible for building and maintaining SpaceXAI's observability platform. You will own critical systems powering metrics, logs, tracing, and alerting, enabling engineering teams to operate services at scale, identify issues before they impact users, and drive systemic reliability improvements.
Responsibilities
- Design and implement scalable observability infrastructure for metrics, logging, and tracing.
- Build high-performance telemetry pipelines that handle massive ingestion volumes.
- Develop APIs, query engines, and UIs that provide engineers with real-time insights into their services.
- Define and enforce best practices for instrumentation, alerting, and reliability across the company.
- Partner with infrastructure and product teams to deeply integrate observability into internal platforms.
- Own the reliability, scalability, and performance of the observability stack end-to-end.
Requirements
- Production-level proficiency in Go, Rust, Scala, or similar languages.
- Deep understanding of distributed systems and telemetry architecture.
- Experience building and operating infrastructure at scale.
- Familiarity with observability stacks such as Prometheus, Grafana, OpenTelemetry, VictoriaMetrics, or ClickHouse.
- Experience with Kafka, Redis, or large-scale time-series databases.
- Experience operating observability pipelines in Kubernetes or similar orchestration environments.
Compensation and Benefits
- Base salary of $180,000–$440,000 USD per year.
- Equity.
- Comprehensive medical, vision, and dental coverage.
- Access to a 401(k) retirement plan.
- Short- and long-term disability insurance.
- Life insurance.
- Various other discounts and perks.
SpaceXAI is an equal opportunity employer.