Software Engineer I - AI Observability

Job summary

Responsibilities

Elastic Observability is building a system that monitors production environments the way an expert SRE would: it learns what normal looks like across logs, metrics, and traces, generates its own detection queries, identifies when something meaningful changes, and launches autonomous investigations…

• User-facing surfaces: Build the Kibana interfaces where signals, investigations, and findings reach users: the views an SRE uses to follow an investigation, inspect the evidence…
• Agentic investigation: Contribute to the multi-agent system that pursues root cause autonomously: build the tools agents use to investigate, shape the context they reason over…
• Detection and signal generation: Contribute to the systems that establish baselines across high-cardinality telemetry, generate their own detection queries, and identify state…
• Evaluation infrastructure: Agent output quality is the product here. Help build offline and online evaluations, and contribute to dataset construction and curation
• Cross-functional collaboration: Partner with UX designers on how autonomous investigations are presented, product managers on scope and sequencing, and data scientists on…

What they're looking for

• At least two years developing applications with TypeScript, React and Node.js
• Using AI to accelerate development, debug systems, and optimize code, while still owning the outcomes
• Knowledge of LLM-based systems — agent orchestration, tool use, retrieval, context management
• A bachelor's degree in Computer Science (or a related technical field), or equivalent hands-on experience
• A creative individual with an enthusiastic interest in technology and software engineering

Tech stack

• TypeScript
• React
• Node.js