Software Engineer - AI Developer Tooling (Engineering Productivity) at Elastic

Elastic

Spain·6h ago

Mid LevelFull-timeTypeScriptPythonJavaRustRailsAWSElasticsearchMachine LearningCI/CDGo

Salary Range

$48,960 - $66,240 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Software Engineer to help transform how our engineers build software by designing and delivering AI-powered developer tooling. This is a highly strategic internal-facing role focused on accelerating software development, reducing friction across the SDLC, and driving adoption of AI-assisted development practices across the organization.

Key Responsibilities

→Design and develop internal tools that leverage LLMs, automation, and machine learning to accelerate coding, testing, debugging, documentation, and code review workflows.
→Build integrations with IDEs, source control platforms, CI/CD systems, internal developer portals, and knowledge platforms.
→Create reusable APIs, services, and SDKs that enable teams to embed AI capabilities into their own development workflows.
→Develop guardrails, evaluation frameworks, and quality controls for AI-generated code and outputs
→Identify bottlenecks across the software development lifecycle and design AI-driven solutions to reduce manual effort and context switching.
→Build automation that improves onboarding, knowledge discovery, service ownership, and codebase navigation.
→Develop intelligent assistants that help engineers understand systems, dependencies, and operational data.
→Act as a champion for AI-assisted development practices across the organization.
→Partner with engineering teams to pilot new tooling, gather feedback, and iterate rapidly.
→Educate teams through workshops, documentation, internal demos, and best practice guides.

Requirements

✓5+ years of professional software engineering experience.
✓Strong backend or full-stack development experience using languages such as Python, Go, Java, TypeScript, or similar.
✓Experience building developer tooling, internal platforms, or automation systems.
✓Hands-on experience integrating or building applications using modern LLMs or AI APIs.
✓Strong understanding of software development workflows, CI/CD, and version control ecosystems.
✓Excellent communication skills and ability to influence technical teams.