Senior Software Engineer, Integrations 3P - Platform

Elastic

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 9 days ago
Freshness: Confirmed live yesterday

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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

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Senior Software Engineer - Integrations 3P - Platform joins the Integrations team to build how the platform connects to the broader AI ecosystem. This role focuses on developing developer-facing surfaces, including language clients, CLI tools, and MCP servers to ensure the product is accessible within third-party environments. You will build and evolve the Elastic MCP server infrastructure, develop a platform for universal agent skills involving portable formats and linting tools, and contribute to the Elastic CLI. The role requires proficiency in Go and Rust, along with experience in client-server networking, HTTP, and RESTful APIs. Candidates must possess a strong understanding of LLMs, agent skills, and MCP protocols. You will solve technical challenges regarding integration correctness through evals while collaborating with product teams and external partners to enhance developer experience across various AI tools.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

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Skills

Go Rust LLMs MCP RESTful APIs HTTP CLI Observability Telemetry Backend Systems Open Source

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.
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 related to the Elastic Stack in 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 product thinking with a focus on usability and developer experience.
Excellent communication and collaboration skills for interacting with customers and external partners.
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