Senior Software Engineer - Integrations 3P - Platform

Elastic
Full-time•Platform / Infrastructure•Ireland · Remote within Ireland
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At a glance

Employment type
Full-time
Workplace
Remote

Technologies & skills

Primary technologies

Other technical skills

What you'll be doing

Senior Software Engineer on Elastic's Integrations Team, building and maintaining developer-facing surfaces (language clients, CLI, MCP server, third-party integrations) to connect Elastic to the AI ecosystem. Work primarily in Go and Rust, focusing on backend systems, integrations, and developer experience.

  • Build and evolve the Elastic MCP server and its infrastructure, primarily in Go
  • Develop the platform for universal agent skills, including tooling and linting
  • Set correctness standards for skills and tools through evaluation
  • Design and deliver integrations for third-party AI ecosystems
  • Enhance the Elastic CLI for developer and agent efficiency
  • Develop, maintain, and support libraries, tools, and integrations related to the Elastic Stack
  • Engage with the developer community and contribute to cross-functional initiatives
  • Bring product thinking and ecosystem awareness to the team

Key requirements

Must-have

  • 8+ years of software engineering experience on backend systems, services, or libraries
  • Significant recent experience with Go
  • Proficiency with AI/ML frameworks and understanding of LLMs, agents, agent skills, and protocols such as MCP
  • Knowledge of client-server networking, HTTP, and RESTful APIs
  • Ability to read and contribute to codebases in unfamiliar languages
  • Knowledge of industry best practices in software engineering
  • Strong focus on usability and developer experience
  • Comfort with context-switching and fast-changing environments

Nice-to-have

  • Experience building or operating infrastructure
  • Interest in telemetry and observability
  • Connection to technical communities through open source, blogs, or talks
  • Experience working with third-party or partner engineering teams
  • Prior experience with Elastic products

Experience: 8+ years

Role signals

Technical focus
backend systems, integrations, developer experience
Hands-on vs management
Hands-on

Full job description

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 within the relevant labour markets.

The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.

The typical starting salary range for this role is:

€87.300—€138.100 EUR

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

  • Competitive pay based on the work you do here and not your previous salary

  • Health coverage for you and your family in many locations

  • Ability to craft your calendar with flexible locations and schedules for many roles

  • Generous number of vacation days each year

  • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service

  • Up to 40 hours each year to use toward volunteer projects you love

  • Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

You will be assessed on your ability to design, build, and maintain developer-facing integrations for Elastic within AI ecosystems, with a focus on Go, Rust, REST APIs, and LLMs. Product thinking, developer experience, and adaptability in a fast-changing environment are key.

  • Go & Rust development·High
  • AI/LLM integrations·High
  • REST API design·High
  • Developer experience·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Go and Rust Projects

    0–8 min

    Skim recent backend projects in Go and Rust, focusing on integration points and challenges.

  2. Refresh REST API and Networking Concepts

    8–15 min

    Revisit RESTful API design, HTTP protocols, and client-server patterns relevant to integrations.

  3. Summarize AI/LLM and Agent Experience

    15–23 min

    List your hands-on work with LLMs, agent skills, and evaluation methods for correctness.

  4. Prepare Product Thinking Examples

    23–30 min

    Recall times you influenced what to build, focusing on developer experience and usability.

Likely questions

, 8 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 6 items
  • Go and Rust for Backend Systems

    You will be building and maintaining backend services and libraries in Go and Rust; strong command of these languages is essential.

  • RESTful APIs and Client-Server Networking

    Integrations rely on robust API design and understanding of HTTP protocols to connect Elastic with third-party AI tools.

  • AI/ML Frameworks and LLMs

    The role requires proficiency with AI/ML frameworks, LLMs, and agent protocols to build relevant integrations and skills.

  • Product Thinking and Developer Experience

    You are expected to shape what gets built, focusing on usability and the needs of developers using Elastic in diverse environments.

  • Evaluation and Correctness

    Demonstrating how you ensure correctness through evaluation, not assumption, is a core expectation for shipped skills and tools.

  • Collaboration with Product Teams and Partners

    You will work closely with internal and external stakeholders to deliver integrations, requiring strong communication and teamwork.

What to research

, 2 items
  • Go and Rust Integration Development

    Expect deep technical questions on building and maintaining backend integrations in Go and Rust, as these are core to the role.

  • AI/LLM Ecosystem and Agent Protocols

    You will likely be tested on your understanding of LLMs, agent skills, and protocols like MCP, as these are central to Elastic's integration strategy.

Questions to ask

, 6 items
  1. How does the Integrations team prioritize which third-party ecosystems or tools to support next?

    Why ask this? Clarifies how your work will be directed and what influences roadmap decisions.

  2. What does success look like for integrations in the AI ecosystem at Elastic?

    Why ask this? Helps you understand expectations and key performance indicators.

  3. How does the team collaborate with external partners and the developer community?

    Why ask this? Reveals the level of external engagement and communication required.

  4. What are the main technical challenges the team is facing with the MCP server or universal agent skills?

    Why ask this? Gives insight into current pain points and where your skills can add value.

  5. How is evaluation and correctness of integrations measured and improved over time?

    Why ask this? Shows how quality and reliability are maintained in a fast-moving environment.

  6. What opportunities exist for contributing to open source or technical communities as part of this role?

    Why ask this? Clarifies how you can grow your profile and impact beyond internal projects.

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Apply NowApply before: 13 Nov 2026