Distributed Systems Engineer - Neural Search (Remote)

Distributed Systems Engineer - Neural Search (Remote)

Full-Time 66080 - 86000 £ / year (est.) Home office (partial)
Algolia

At a Glance

  • Tasks: Design and develop scalable cloud architecture for NeuralSearch.
  • Company: Join Algolia, a leader in innovative search technology.
  • Benefits: Competitive salary, flexible work options, and a focus on quality.
  • Other info: Exciting opportunity for growth in a dynamic tech environment.
  • Why this job: Make an impact in cutting-edge tech while working remotely or hybrid.
  • Qualifications: Experience with distributed systems and large datasets required.

The predicted salary is between 66080 - 86000 £ per year.

Algolia is looking for a Software Engineer to join the Metis team, focusing on our cloud-based scalable architecture for NeuralSearch. In this role, you will contribute to the design and development of the Metis system and ensure its quality. Candidates should have experience with distributed systems and be familiar with handling large datasets.

The salary range for this position is £66,080—£86,000 GBP, with options for full-remote, hybrid, or office-based work.

Distributed Systems Engineer - Neural Search (Remote) employer: Algolia

At Algolia, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and grow. As a Distributed Systems Engineer, you will have the opportunity to work remotely or in a hybrid setting, enjoying a competitive salary and a strong focus on professional development. Join us to be part of a forward-thinking team that values collaboration and creativity in building cutting-edge technology.

Algolia

Contact Details:

Algolia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Distributed Systems Engineer - Neural Search (Remote)

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 Algolia 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 Algolia.

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 Algolia.

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 Algolia 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 Distributed Systems Engineer - Neural Search (Remote)

Distributed Systems
Cloud-Based Architecture
Neural Search
Software Development
Quality Assurance
Large Datasets Handling
System Design

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 Algolia.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Algolia 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 Algolia

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 Algolia 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.