Software Engineer I - AI Observability

Role details

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 precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role 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 — without waiting for a human to notice first. The goal is to close the gap between the alert that fires and the answer that matters, at a scale no on-call rotation can match. You will work on the Kibana UI, where Autonomous investigations meet the engineers who rely on them, making agent reasoning legible enough that an SRE can trust it, challenge it, and act on it. You will also work on the context and detection pipelines that turn raw telemetry into structured signals, the analysis that separates noise from events worth investigating, and the multi-agent system that digs into root causes autonomously and drives remediation. What You Will Be Doing You will work across our AI SRE solution. Over time, that will include the following: 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 What You Bring 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 A willingness to learn in a dynamic and distributed environment Bonus Points Knowledge of self-directed agentic execution (multi-turn reasoning loops) and evaluating output quality Evaluating non-deterministic systems by designing evaluation datasets, offline and online evaluations Knowledge of Observability and Elasticsearch Experience working in distributed teams Experience in open source Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €42.400 - €67.000 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity