Elastic Logo

Elastic

Senior Software Engineer - Integrations 3P - Platform

Posted 8 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Athens
61K-97K Annually
Senior level
Remote
Hiring Remotely in Athens
61K-97K Annually
Senior level
Build and evolve Elastic�s Integrations platform: MCP server, universal agent skills tooling, third-party AI ecosystem integrations, and developer-facing libraries and CLI. Work mainly in Go (and Rust), shape eval-backed correctness, collaborate with product and external partners, and prioritize developer experience.
The summary above was generated by AI

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:
€61.100€96.600 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 [email protected]. 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.

Elastic New York, New York, USA Office

45 W. 27th St, New York, NY, United States

Similar Jobs

Yesterday
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads strategy, delivery, governance, adoption, and lifecycle management for agentic AI products across Pfizer’s regulated manufacturing network. Defines use cases, roadmaps, evaluation frameworks, guardrails, success metrics, and value-realization models while partnering with manufacturing, engineering, data, quality, cybersecurity, and business teams. Oversees pilots, production deployment, monitoring, continuous improvement, responsible AI, and scaling of intelligent manufacturing capabilities.
Top Skills: Agentic AiAICloud Data PlatformsHistoriansLimsLlmopsMesMlopsPlant ConnectivityScadaSerialization
Yesterday
Remote or Hybrid
Entry level
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build, prototype, evaluate, deploy, and improve agentic AI products for Pfizer’s regulated manufacturing network. Own agent backlogs, user discovery, experimentation, adoption, success metrics, governance, responsible AI, monitoring, and lifecycle operations. Partner with engineers, data scientists, manufacturing SMEs, Quality, Cybersecurity, and business stakeholders to convert manufacturing knowledge and user needs into production-grade intelligent agents that improve productivity, decision-making, and operational performance.
Top Skills: Advanced AnalyticsAgentic AiAgentic Ai OrchestrationAgile/ScrumAi Agent FrameworksAi Evaluation FrameworksAi GuardrailsCloud Data PlatformsCsvHistoriansHuman-In-The-Loop OversightLarge Language Models (Llms)LimsLlmopsMesMlopsOt/AutomationPrompt EngineeringRetrieval-Augmented Generation (Rag)Scada
Yesterday
Remote
USA
163K-272K Annually
Expert/Leader
163K-272K Annually
Expert/Leader
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead design, delivery and maintenance of GMP/GDP audit strategy for biologics, aseptic, small molecule and medical device areas. Plan and execute complex audits, coach auditors, analyze regulatory intelligence, drive corrective actions, support inspection readiness, and partner with PGS/PharmSci and site stakeholders to ensure compliance and continuous improvement.
Top Skills: Aseptic ManufacturingDigital HealthEu DirectiveFdaGdpGmpIchIsoMedical Device RegulationsPic/SQuality Management SystemSoftware As A Medical Device (Samd)Tga

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account