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Sr. Software Engineer - IT Software Engineering

Elastic · United States

unknownsenior$133,100–$133,100Posted Nov 3, 2026

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About this role

**Elastic, the Search AI Company** enables everyone to find the answers they need in real time—using all their data, at scale. Elastic’s Search AI Platform (used by 50%+ of the Fortune 500) combines search precision with AI intelligence to help organizations accelerate the results that matter. --- ## What is the Role Could we build a better version of an expensive SaaS tool on Elasticsearch in twelve weeks? Elastic’s new **IT Software Engineering** team asks that question about the software Elastic pays for—then builds the answer and owns it for years. Every system the team builds helps run the company day to day and becomes a reference architecture for Elastic’s own products. - Small team of **3–4 engineers** - **Hands-on**, **100% individual contributor** role - Knowing what to build (and what not to build) matters more than typing speed ### What this role is not - **Not a front-end role** (UI follows a shared kit and is the simplest part) - **Not a prototype/demo role** (what you ship runs in production and is maintained for years) - **Not vibe coding** (AI helps you build faster, but design, review, and testing are required) - **Not SaaS administration/configuration**, and not infrastructure-only or DevOps-only - **Not a people-management role** --- ## What You Will Be Doing - Take an open business problem, decide what to build (and what to leave out), and turn it into a clear **spec**, **data model**, and **API contracts** - Build internal applications that replace paid, specialized tools - Solve shared hard problems, including: - Reading data from multiple systems of record accurately and efficiently—without overloading or slowing those systems - Storing sensitive data so it never leaks - Enforcing permissions on the server so each person sees only the records/fields they’re allowed to see - Design and evolve shared, versioned building blocks used by every application, such as: - Data connectors - Authorization - Data storage and migrations - Search - Reporting - Build with AI coding agents (e.g., **Claude Code**) inside a disciplined, spec-driven process: - Acceptance criteria traced to tests - Interface contracts with compatibility checks - Small slices reviewed and proven before moving on - Automated quality gates to decide when work is done - Own what you build for its whole life: **review, testing, releases, production**

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