Senior Software Engineer - Integrations 3P - Platform

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

We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use.

The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives.

This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners.

Prior experience with the Elastic product suite is not essential, but is beneficial.

What You Will Be Doing

• You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go.
• You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and the linting that lets any team at Elastic ship a skill that runs across every agent.
• You'll help set the correctness bar, making sure the skills and tools we ship are backed by evals rather than assumed to work.
• You'll design and deliver integrations that make Elastic available inside third-party AI ecosystems. For that you’ll work closely with our product team and third-party partners to shape and land those integrations.
• You'll contribute to our Elastic CLI to enhance the efficiency of developers and their agents.
• You'll be developing, maintaining, and supporting libraries, tools, and integrations related to the Elastic Stack, working in a mixture of languages including Go and Rust.
• You'll bring product thinking to the team, holding and defending opinions on what we should build and why, informed by the ecosystem around us.

What You Bring

• 8+ years of software engineering experience working on backend systems, services or libraries.
• Proficiency with AI/ML frameworks and a working understanding of LLMs, agents, agent skills and protocols such as MCP. Interest in proving correctness through evaluation rather than assuming it.
• Significant recent working experience of Go and (ideally) other languages.
• Knowledge of client-server networking, HTTP, and RESTful APIs.
• Comfort reading and contributing to codebases in languages you don't own, and no fear of picking up an unfamiliar one.
• Knowledge of industry best practices in software engineering.
• Product thinking: an interest in the wider ecosystem and strong opinions on what is worth building.
• A strong focus on usability and developer experience.
• Comfort with context-switching and with a space that changes quickly.
• A genuine interest in technology and an active interest in exploring multiple programming languages.
• Excellent communication, collaboration, and interpersonal skills, including in front of customers and external partners.
• A willingness to work as part of a remote, globally distributed team.
• Clear thinking, self-motivation, and the ability to learn and work independently.

Bonus Points

• Experience building or operating infrastructure, and an interest in telemetry and observability (nice to have)
• A connection to technical communities through open source projects, blogs or talks (nice to have)
• Experience working with third-party or partner engineering teams (nice to have)
• Prior experience of Elastic products (nice to have)

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 …