Senior Software Engineer, Integrations 3P - Platform

Elastic

Confirmed live yesterday Trusted
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
28 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $177k
$108k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $151,000–$203,712.

Based on 240 similar postings.

Employer

About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.

Elastic currently has 240 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 91 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Integrations 3P - Platform

Senior Software Engineer - Integrations 3P - Platform joins the Integrations team to build how Elastic integrates into the broader AI ecosystem. This role focuses on developing developer-facing surfaces, including language clients, CLI tools, and MCP servers to ensure Elastic is accessible within third-party AI environments. The engineer will build the infrastructure for universal agent skills, develop publishing tooling, and establish correctness bars through evals. Key responsibilities include maintaining libraries and tools related to the Elastic Stack while collaborating with product teams and external partners. The role requires proficiency in Go and Rust, a strong understanding of LLMs, agent protocols like MCP, and experience with client-server networking, HTTP, and RESTful APIs. This position solves the challenge of making search capabilities easily accessible and usable for developers working within rapidly evolving AI assistant and agentic tool landscapes.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

See salary data

What you'll do

  • Build and evolve the Elastic MCP server and its underlying infrastructure using Go.
  • Develop a platform for universal agent skills, including portable formats, authoring tools, and linting systems.
  • Establish correctness standards by ensuring all shipped skills and tools are backed by evaluations.
  • Design and deliver integrations to make Elastic available within third-party AI ecosystems.
  • Contribute to the Elastic CLI to improve efficiency for developers and automated agents.
  • Develop, maintain, and support libraries and tools for the Elastic Stack using Go and Rust.
  • Provide product thinking to determine what features should be built based on ecosystem needs.

What we're looking for

  • 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 MCP protocols.
  • Significant recent working experience in Go and other programming languages like Rust.
  • Knowledge of client-server networking, HTTP, and RESTful APIs.
  • Ability to read and contribute to codebases in unfamiliar programming languages.
  • Strong communication, collaboration, and interpersonal skills for interacting with customers and partners.
  • Experience building or operating infrastructure and an interest in telemetry and observability (preferred).
  • Prior experience with Elastic products (preferred).

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