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Senior Software Engineer - Storage Engine - Elasticsearch
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At a glance
- Employment type
- Full-time
- Location
- Ireland · Remote within Ireland
- Workplace
- Remote
- Category
- Full-stack
Technologies & skills
Primary technologies
Secondary technologies
What you'll be doing
Senior Software Engineer role on the Elasticsearch Storage Engine team, focused on designing, implementing, and optimizing core storage and query technologies for observability workloads. The position emphasizes high-performance, scalable systems, storage efficiency, and architectural leadership within a distributed, remote team.
- Lead architectural evolution of core storage engine components
- Identify and resolve performance bottlenecks in indexing layouts, serialization formats, and resource utilization
- Lead cross-organizational initiatives for observability solutions
- Collaborate with a globally distributed team on logs and metrics capabilities
- Drive operational and system improvements via best practices and architectural clarity
- Serve as subject matter expert and mentor within the engineering organization
- Triage, resolve, and review issues and pull requests with the global community
- Write idiomatic modern Java code
Key requirements
Must-have
- Ability to collaborate across functions and teams
- Work autonomously and drive decisions in a distributed team
- Proven track record of using AI to accelerate development and optimize code
- Prompt-engineering mindset for leveraging AI agents
- Experience indexing, storing, and querying time-series or logs data
- Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus
- Strong core Java skills and understanding of concurrency primitives
- Ability to design and optimize efficient data structures and algorithms
Nice-to-have
- Experience building with Elasticsearch
- Experience with open source projects and source control workflows
- Experience with continuous integration
- Experience designing and leading cross-functional initiatives
- Experience with database, search engine, OS, or cloud service development
Experience: Senior
Role signals
- Technical focus
- storage engine, query optimization, distributed systems
- Leadership
- Mentoring
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
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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're looking for a Senior Software Engineer to join the **
Elasticsearch - Storage Engine team**. This globally distributed, fully remote team of experienced engineers develops core storage and query technologies for observability workloads, including improving storage efficiency, advancing ES|QL query processing and performance, and optimizing data layouts for object storage.
This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine. The ideal candidate has experience building high-performance, scalable database, search, or distributed systems, with a strong focus on storage, indexing, query execution, and performance optimization.
Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, intuitive and high-quality software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.
What You Will Be Doing
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Lead the architectural evolution of core storage engine components, continuously identifying and resolving performance bottlenecks in indexing layouts, serialization formats, and resource utilization.
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Lead cross organizational initiatives to drive and build industry-leading observability solutions.
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Work with a globally distributed team of experienced engineers focused on the logs and metrics capabilities of Elasticsearch.
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Drive continuous operational and system improvements by introducing best practices for clean coding standards, demystifying complex system behaviors, untangling complexity to bring architectural clarity across the platform.
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Serve as a subject matter expert (SME) across key areas of Elasticsearch, acting as a trusted technical advisor and mentor to the wider engineering organization.
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Work with a global community to triage, resolve, and review issues and pull requests, collaborating with domain experts as needed.
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Write idiomatic modern Java -- Elasticsearch is 99.8% Java!
What You Bring
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You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
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You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.
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You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
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You bring a prompt-engineering mindset to know how to leverage AI agents effectively, using sound engineering judgment to validate results and recognize its limitations.
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You have implemented novel techniques to efficiently index, store, and query time-series or logs data.
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You have experience with one or more data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus and have some idea how they work and why they work that way.
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You have strong core Java skills, a deep understanding of its concurrency primitives, with a proven ability to design and optimize efficient data structures and algorithms.
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You excel in a collaborative environment, actively participate in technical discussions, and work effectively across distributed teams. Because it's the best way we know how to build software.
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You have excellent verbal and written communication skills and collaborate with respect, empathy, and professionalism in a distributed team.
Bonus Points
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You've built things with Elasticsearch before.
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You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
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You’ve worked on data storage technology.
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You have experience designing, leading, and owning cross-functional initiatives.
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You have past working experience with database, search engine, OS, or cloud service development.
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:
€85.600—€135.500 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.
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Competitive pay based on the work you do here and not your previous salary
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Health coverage for you and your family in many locations
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Ability to craft your calendar with flexible locations and schedules for many roles
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Generous number of vacation days each year
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Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
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Up to 40 hours each year to use toward volunteer projects you love
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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
Expect to be assessed on your ability to design, implement, and optimize Elasticsearch's core storage and query engine, with a strong focus on Java, distributed systems, storage efficiency, and performance. Collaboration, mentoring, and leveraging AI for development are also key.
- Java concurrency & performance·High
- Distributed storage systems·High
- Indexing & query optimization·High
- Cross-team collaboration·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Java and Concurrency
0–10 minFocus on Java concurrency primitives, performance optimization, and idiomatic code relevant to large-scale systems.
Study Elasticsearch Storage Architecture
10–17 minRead up on Elasticsearch's storage engine, indexing strategies, and query processing, especially for observability workloads.
Prepare Experience Examples
17–24 minRecall and outline specific examples of optimizing storage/query engines, leading initiatives, and mentoring.
Reflect on AI in Development
24–30 minThink through how you've used AI tools to accelerate development, debug, or optimize code, and how you validated results.
Talking points
, 6 itemsJava Concurrency and Performance
The role requires deep understanding of Java, especially concurrency primitives and performance optimization, as Elasticsearch is almost entirely Java-based.
Storage Engine Architecture
You will lead the architectural evolution of Elasticsearch's storage engine, so knowledge of storage layouts, serialization, and indexing is essential.
Distributed Systems Fundamentals
Elasticsearch is a distributed system; understanding distributed architecture, consistency, and scalability is crucial for this role.
Query Processing and Optimization
Improving query execution and performance for observability workloads is a core responsibility.
Time-Series and Log Data Handling
Experience with efficient indexing, storage, and querying of time-series or log data is specifically required.
Leveraging AI in Software Development
The team values using AI to accelerate development, debug, and optimize code, so demonstrating this mindset is important.
What to research
, 4 itemsJava Performance and Concurrency
Expect deep questions on Java concurrency, data structures, and performance tuning, as these are central to the role's responsibilities.
Storage and Query Engine Optimization
Be ready to discuss architectural decisions and optimizations for storage efficiency, indexing, and query execution, especially for time-series/log data.
Cross-Team Leadership and Mentoring
Prepare examples of leading initiatives and mentoring, as the role expects you to act as a technical advisor and drive cross-organizational projects.
Leveraging AI in Engineering
Demonstrate your ability to use AI tools thoughtfully in development and debugging, with awareness of their strengths and limitations.
Questions to ask
, 6 itemsWhat are the biggest technical challenges currently facing the storage engine team?
Why ask this? Reveals the team's priorities and where your skills could have the most impact.
How does the team approach architectural decisions and consensus-building in a distributed environment?
Why ask this? Clarifies how collaboration and decision-making work in practice.
What is the team's process for code review and continuous integration?
Why ask this? Helps you understand the development workflow and quality standards.
How does the team leverage AI tools in their day-to-day development?
Why ask this? Shows how AI is integrated into the engineering process and expectations for your role.
What opportunities exist for mentoring or technical leadership within the team?
Why ask this? Gives insight into growth and leadership paths.
How does the team handle knowledge sharing and onboarding for new technologies?
Why ask this? Indicates support for continuous learning and adaptation.
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