Remotely
machine learningllmelasticsearchfinopsobservabilityaikibanacost governance
Job Description
📋 Description
- Lead strategic build-vs-buy engineering for internal platforms.
- Architect and deliver Elastic-native IT platforms using Elasticsearch, Kibana, and Elastic AI.
- Own architecture standards, API design, observability, and security posture.
- Collaborate with IT, Security, Platform Engineering, and Finance to replace SaaS with Elastic
- Build reference architectures and contribute to product strategy through implementation learnings.
🎯 Requirements
- 15+ years of software engineering; at least 3 years as a principal/lead engineer.
- Deep Elasticsearch expertise: data modelling, query design, performance tuning, production ops.
- Strong full-stack capability across backend to frontend (e.g., pipelines, dashboards, React).
- Proven track record shipping commercial software or platform systems.
- Architectural judgment to decide build vs buy with data-backed rationale.
- Excellent written communication; architecture decisions and standards docs.
🎁 Benefits
- Competitive pay; stock program; 401k company match.
- Health coverage in many locations; flexible locations and schedules.
- Generous vacation; 40 hours yearly for volunteer work; parental leave.
- Pay transparency and equitable compensation practices.
- Employee-focused benefits and inclusive culture for a distributed workforce.