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
Work with IT leadership, Finance, and Engineering to evaluate Elastic's: internal SaaS portfolio and identify where custom-built systems — backed by Elasticsearch, Kibana, and Elastic's AI capabilities — deliver better value than continued vendor contracts.
Own the architectural oversight, build plan, and overall delivery of the highest-priority replacements.
Build, mentor, and lead a small, focused team of software engineers executing: on internal tool replacements and Elastic-native platforms.
Manage delivery roadmaps, unblock your team, and balance engineering rigor with rapid execution speed.
Platform productivity tools: Internal developer portals, knowledge search layers, engineering onboarding systems, and workspace tooling that unifies disparate SaaS tools into a single Elasticsearch-backed search and intelligence layer.
FinOps and AI cost governance: A consolidated cost visibility and anomaly detection system across Elastic's AI providers (Anthropic, OpenAI Codex, GitHub Copilot, Google Gemini) and cloud platforms (AWS, GCP, Azure), replacing commercial FinOps SaaS with an Elastic ML-powered alternative.
What they're looking for
- IT service management: Evaluating and building replacements for commercially purchased SaaS products including incident management, knowledge base search, internal developer portal, and SIEM-correlated security workflows, using Elastic Observability and Elastic Security as the backbone.
- Enterprise efficiency systems: Custom tooling that reduces manual process overhead across IT, Finance, HR, Legal and Operations, using the LLM Gateway, RAG pipelines, and Elasticsearch as the data and intelligence layer.
- New use cases: New use cases that traditionally SaaS paid services did not address and can now be built with AI native architecture.
- Establish and own the architectural standards, design patterns, and: engineering practices for all IT platform engineering work.
