At a Glance
- Tasks: Build and support backend platforms for innovative search systems.
- Company: Yelp, a collaborative tech company focused on user impact.
- Benefits: Competitive salary, flexible hours, health insurance, and 25+ days holiday.
- Other info: Join a dynamic environment with opportunities for career growth and learning.
- Why this job: Make a real difference in search technology while having fun with a supportive team.
- Qualifications: Experience in object-oriented programming and building large-scale systems.
The predicted salary is between 60000 - 80000 £ per year.
Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.
At Yelp, we’re dedicated to delivering the most relevant search results by leveraging cutting‑edge techniques in machine learning, data mining, and backend engineering. Our engineers play a key role in improving search recall, enriching results with contextual annotations, and optimizing search data pipelines. Their work directly impacts millions of users, helping them find the best local businesses with smarter, more intuitive search experiences.
If you're excited about solving complex recall challenges, scaling search infrastructure, and driving innovation in search relevance, we’d love to have you on board! The Search Quality team is looking for a data‑oriented backend engineer to build and improve our internal systems to better support prototyping, testing, and scaling the next generation of Search with us. You’ll be working closely with engineers on multiple teams to orchestrate a seamless development, testing, and shipping experience that will help bring us closer to our long‑term goals. This opportunity requires you to be located in the United Kingdom.
What you’ll do:
- Build, extend, and support our backend platforms to support prototyping, testing, and scaling our Search systems.
- Work closely with product‑focused backend engineers on the team to build efficient systems for Search Annotations, Recall, and LLM‑backed search experiences in general.
- Team up with other engineering groups, such as Ads and Market Engineering, to build cohesive backend systems that support our shared visions.
- Contribute to our next gen, smarter search roadmap, vision, and execution.
What it takes to succeed:
- Fluency in an object‑oriented language (like Python or Java).
- Experience with databases (SQL and NoSQL), Unix, developing within a Continuous Integration/Deployment pipeline.
- Proficient in AWS services such as S3, Glue, Athena.
- Skilled in building and supporting large‑scale distributed systems that back a consumer app or website.
- Expertise in building effective APIs (like REST or GraphQL).
- Comfortable with performance analysis tools (e.g. tracers, profilers, debuggers, visualization tools).
- Capable of working and coordinating requirements across teams.
- Excellent documentation skills.
- Interest or experience in developing infrastructure supporting data‑intensive applications.
What you’ll get:
- Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
- Competitive salary, a pension scheme, and an optional employee stock purchase plan.
- 25 days paid holiday (rising to 29 with service), plus one floating holiday.
- £150 monthly reimbursement to help cover remote working expenses.
- £81 caregiver reimbursement to support dependent care for families.
- Private health insurance, including dental and vision.
- Flexible working hours and meeting‑free Wednesdays.
- Regular 3‑day Hackathons, bi‑weekly learning groups, and productivity spending to support and encourage your career growth.
- Opportunities to participate in digital events and conferences.
- £81 per month to use toward qualifying wellness expenses.
- Quarterly team offsites.
Yelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.
Senior Software Engineer - Data Backend (Search Quality) (Remote - United Kingdom) employer: Yelp, Inc
Yelp is an exceptional employer that fosters a collaborative and innovative engineering culture, where every new engineer can deploy working code within their first week. With a strong emphasis on personal growth, employees benefit from flexible working hours, generous holiday allowances, and unique perks such as monthly reimbursements for remote work and wellness expenses. Located in the United Kingdom, Yelp offers a dynamic environment that encourages creativity and teamwork, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Data Backend (Search Quality) (Remote - United Kingdom)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Yelp on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, participate in coding challenges or hackathons. This is a great way to demonstrate your problem-solving abilities and creativity, just like Yelp values.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of backend systems, databases, and APIs. Be ready to discuss how you've tackled complex problems in the past, as this aligns with what Yelp is looking for.
✨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 are proactive about their job search.
We think you need these skills to ace Senior Software Engineer - Data Backend (Search Quality) (Remote - United Kingdom)
Some tips for your application 🫡
Be Authentic:We want to see the real you! Don’t be afraid to let your personality shine through in your application. Share your unique experiences and how they’ve shaped your approach to engineering.
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with backend systems, databases, and any relevant projects that align with our search quality goals.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've used object-oriented languages, built APIs, or worked with AWS services in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Yelp, Inc
✨Know Your Tech Stack
Make sure you’re well-versed in the object-oriented languages mentioned, like Python or Java. Brush up on your database knowledge, both SQL and NoSQL, as well as AWS services like S3 and Glue. Being able to discuss your experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Yelp values creative solutions, so be prepared to discuss specific challenges you've faced in previous roles. Think about how you approached complex problems, particularly in backend systems or search infrastructure, and be ready to share those stories during the interview.
✨Collaboration is Key
Since you'll be working closely with various teams, highlight your experience in cross-team collaboration. Share examples of how you’ve successfully coordinated requirements or projects with other engineering groups, and emphasise your ability to communicate effectively.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around building APIs and performance analysis tools. Practise explaining your thought process and methodologies clearly, as this will demonstrate your expertise and help you stand out as a candidate who can contribute to Yelp's innovative environment.