At a Glance
- Tasks: Lead the development of cutting-edge vector search features in Elasticsearch.
- Company: Join Elastic, a leader in AI-driven search solutions used by Fortune 500 companies.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment that values autonomy and innovative thinking.
- Why this job: Make a real impact on search technology while collaborating with a global team of experts.
- Qualifications: Experience in vector similarity and strong Java skills are essential.
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.
We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.
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 and intuitive 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
- Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
- Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand.
- Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
- Be an expert on how Elasticsearch implements vector similarity in support of search relevance.
- Work with community members from all over the world on issues and pull requests.
- Write idiomatic modern Java -- Elasticsearch is 99.8% Java!
What You Bring Along
- You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.
- Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
- You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs.
- You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end.
- You're comfortable developing collaboratively.
- You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- You have excellent verbal and written communication skills.
Bonus Points
- You've built things with Elasticsearch before.
- You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
- Experience with data storage technology.
- You have experience designing, leading and owning cross-functional initiatives.
Principal Software Engineer - AI employer: Elastic NV
Elastic is an exceptional employer that fosters a dynamic and inclusive work culture, where creativity and passion are highly valued. As a Senior Go To Market Recruiter, you will have the opportunity to engage with top talent while contributing to a company that is at the forefront of AI and search technology. With a commitment to employee growth and a collaborative environment, Elastic offers a unique chance to be part of a rapidly expanding team that is making a significant impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Software Engineer - AI
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Elastic NV or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Elastic NV.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Elastic NV.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Elastic NV that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Principal Software Engineer - AI
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Elastic NV.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Elastic NV and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Elastic NV
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Elastic NV uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
