Skip to main content
← Back to search
E

Principal Java Engineer - Distributed Systems, Serverless - Elasticsearch

Elastic

Salary undisclosed

PolandFull-timeOn-siteExpert

Need a reasonable accommodation to apply or interview? Contact us.

JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.

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 on the lookout for a Principal Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. 

What You Will Be Doing:

  • Leveraging your deep distributed systems expertise to design, build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide.
  • Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines.
  • Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.
  • Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today.
  • Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions.
  • Supporting our support engineers with the harder problems.
  • Owning operational investigations end-to-end, until performance or stability issues are successfully resolved.

What You Bring:

  • You have a deep background in distributed systems and consensus algorithms.
  • You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
  • You have a deep technical proficiency in algorithms.
  • You have experience building large-scale distributed systems, rather than making use of off-the-shelf services. 
  • You have experience building and debugging complex features with a broad impact, running on multiple machines.
  • You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.
  • You have experience managing projects involving multiple engineers.
  • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
  • You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
  • You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.

Bonus Points:

  • Data stores
  • Search, analytics, Lucene
  • Strong knowledge of the JDK
  • Asynchronous event-driven network frameworks such as Netty

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:
369 400 zł—584 300 zł PLN

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.

Benefits

  • stock options
  • parental leave

About this role

Elastic's Distributed Systems team is building the infrastructure that powers Elasticsearch at massive scale, particularly through the new Serverless offering. This Principal Java Engineer role focuses on the hardest problems in distributed systems: how nodes communicate within a cluster, how data gets indexed and allocated across machines, and how the system maintains performance and consistency as nodes join and leave. You'd own projects spanning technical design through implementation, working on core components that directly affect how the platform serves Fortune 500 companies worldwide.

The work demands deep expertise in distributed systems, consensus algorithms, and Java concurrency. You'll improve indexing consistency across multiple machines, maintain cluster coordination under dynamic conditions, and push the boundaries of how many shards, nodes, and petabytes Elasticsearch can handle. This includes investigating complex performance and concurrency issues, supporting the support team with harder problems, and driving operational investigations to resolution. Experience building large-scale distributed systems from the ground up—not just using managed services—is essential, as is the ability to own projects end-to-end and manage multiple engineers.

You should have strong algorithmic thinking, proficiency with Java's standard library and newer language features, and a track record of building and debugging features that span multiple machines. Experience with data stores, search, Lucene, the JDK, or asynchronous frameworks like Netty is valuable. The role is based in Poland and requires in-office work, with a base salary range of 369,400–584,300 PLN and benefits including flexible schedules, health coverage, generous vacation, and parental leave.

How this employer is doing

average

  • News: Recently Raised Funding
  • Recent Acquisition

Pay for this role

The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Principal Java Engineer - Distributed Systems, Serverless - Elasticsearch postings in your area, and analyze any offer before you accept it.

How JobMinglr reads this job

Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.