Principal Java Engineer II - Machine Learning - Elasticsearch

Principal Java Engineer II - Machine Learning - Elasticsearch

Full-Time 36000 - 60000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Build and maintain machine learning components for Elasticsearch, optimising performance and collaborating with teams.
  • Company: Elastic, a diverse and inclusive tech company focused on advanced analytics.
  • Benefits: Competitive pay, health coverage, flexible schedules, generous vacation, and parental leave.
  • Other info: Embrace a dynamic work culture with excellent career growth opportunities.
  • Why this job: Join a cutting-edge team to make a real impact in machine learning and data insights.
  • Qualifications: Strong Java and C++ skills, experience in machine learning development, and ability to lead projects.

The predicted salary is between 36000 - 60000 € per year.

We are on the lookout for a Principal Java Engineer II to join our Elasticsearch - Machine Learning team and help build and maintain the platform and components used for machine learning in Elasticsearch. On the Java side, this will involve maintaining and extending ML support in Elasticsearch, while on the C++ side, it will involve working on model performance optimizations. You will help us to build the platform and components that enable customers to gain insight from their data. This team builds and maintains the infrastructure that integrates advanced analytics and machine learning components into the distributed Elastic platform, making these available for our Search, Observability, and Security Solutions. This work will involve close collaboration with Elasticsearch and enterprise search engineers.

What You Will Be Doing:

  • Build and maintain Machine Learning and advanced analytical platform components.
  • Implement scalable, high quality, well-architected code.
  • Collaborate with other engineering teams within Elastic that build on our platform.
  • Assist our support engineers and community.
  • Promote knowledge sharing and collaboration in a distributed team.

What You Bring:

  • You have strong skills in core Java and C++ 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 professional experience in leading the development of Machine Learning components.
  • You have shown your ability to understand and work on complex systems.
  • You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.
  • You are able to own projects from beginning to end, covering both technical design and working with others to develop needed components.
  • You have experience communicating with a variety of stakeholders.

Bonus Points:

  • Experience with the Elastic Stack.
  • Experience with Python / Go.
  • Open source experience.

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 a 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, colour, 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.

Principal Java Engineer II - Machine Learning - Elasticsearch employer: PowerToFly

Elastic is an exceptional employer that prioritises the well-being and growth of its employees, offering competitive pay, comprehensive health coverage, and generous vacation days. With a strong commitment to diversity and inclusion, Elastic fosters a collaborative work culture where innovative minds can thrive, making it an ideal place for professionals seeking meaningful and impactful careers in technology.

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Contact Detail:

PowerToFly Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Java Engineer II - Machine Learning - Elasticsearch

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those at Elastic. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a GitHub or portfolio, make sure it's up to date. Share projects that highlight your Java and C++ prowess, especially anything related to machine learning.

Tip Number 3

Prepare for the interview like it’s a coding challenge! Brush up on algorithms and system design. Be ready to discuss how you’ve tackled complex systems and collaborated with teams.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Principal Java Engineer II - Machine Learning - Elasticsearch

Core Java
C++
Data Structures
Concurrency Constructs
Algorithms
Machine Learning Development
Complex Systems Understanding

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your core Java and C++ skills, especially in relation to machine learning. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to our Elasticsearch team. Keep it engaging and personal – we love to see your personality!

Showcase Collaboration Skills:Since this role involves working closely with other engineering teams, highlight any past experiences where you’ve successfully collaborated on complex projects. We value teamwork, so let us know how you’ve made an impact!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. We can’t wait to hear from you!

How to prepare for a job interview at PowerToFly

Know Your Tech Inside Out

Make sure you brush up on your core Java and C++ skills, especially around data structures and concurrency. Be ready to discuss algorithms in detail, as this role demands a deep technical proficiency. Practising coding problems related to machine learning components can give you an edge.

Showcase Your Project Ownership

Prepare to talk about projects you've led from start to finish. Highlight your experience in technical design and collaboration with other teams. Use specific examples to demonstrate how you’ve built and debugged features that have had a broad impact.

Communicate Like a Pro

Since this role involves working with various stakeholders, practice articulating complex ideas clearly and concisely. Think of examples where you successfully communicated technical concepts to non-technical team members or clients.

Emphasise Collaboration and Knowledge Sharing

Elastic values teamwork, so be prepared to discuss how you promote knowledge sharing within a distributed team. Share experiences where you’ve collaborated with others to solve problems or improve processes, as this will resonate well with the interviewers.