The opportunity
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the…
What you'll do
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 behind a conclusion, and drive the remediation that follows. This is most of the work today, though investigations increasingly need to reach engineers wherever they already work
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, and help decide when an agent has gathered enough evidence to conclude
Detection and signal generation: Contribute to the systems that establish baselines across high-cardinality telemetry, generate their own detection queries, and identify state changes worth investigating
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 analysis methods
At least two years developing applications with TypeScript, React and Node.js
What they're looking for
- 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
