Senior Backend Engineer - Trust Detection

Senior Backend Engineer - Trust Detection

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deliver scalable backend solutions for Trust Detection systems.
  • Company: Join Depop, a forward-thinking tech company focused on trust and safety.
  • Benefits: Enjoy flexible working, health benefits, and generous leave policies.
  • Other info: Mentorship opportunities and excellent career growth await you.
  • Why this job: Make a real impact by shaping detection capabilities in a dynamic environment.
  • Qualifications: Strong backend engineering skills and experience with data-intensive systems required.

The predicted salary is between 60000 - 80000 £ per year.

About the role

Depop’s Trust Detection squad builds proactive, scalable detection systems that identify harmful content and user behaviour early, enabling fast, fair and effective moderation at scale. As a Senior Backend Engineer in Trust Detection you will shape, evolve and scale these detection capabilities, working closely with ML engineers, scientists and cross‑functional partners.

Responsibilities

  • Independently design and deliver backend solutions to medium‑to‑large problem spaces, from discovery through production and iteration.
  • Build and evolve core detection services, pipelines, and APIs that operate at scale and under real‑world adversarial conditions.
  • Work hands‑on with ML Engineers and ML Scientists to productionise models and improve detection pipelines, monitoring, and iteration loops.
  • Take end‑to‑end ownership of your work, including design, implementation, testing, observability and operational support.
  • Contribute to shaping technical direction within the team, improving system design, reliability and developer experience.
  • Operate in an experiment‑led environment, helping define hypotheses, success metrics and feedback loops.
  • Collaborate closely with Product, Fraud, Trust and Safety and other Engineering teams to ensure solutions are well scoped and well understood.
  • Actively contribute to continuous improvement through retrospectives, post‑incident reviews and technical discussions.
  • Mentor and support other engineers in the team, raising the overall quality of delivery.

Qualifications

  • Strong backend engineering fundamentals with experience independently delivering production systems.
  • Proficiency in at least one backend language such as Scala, Java or Python, with the ability to learn new languages quickly.
  • Experience working with data‑intensive systems, including designing, consuming and evolving data models across services.
  • Experience building or operating event‑driven systems, such as producing and consuming events or messages in distributed architectures.
  • Experience building scalable and reliable services and APIs.
  • Strong sense of ownership paired with effective collaboration and communication.
  • Comfort working in ambiguous problem spaces and proactively shaping solutions.
  • Solid testing practices across unit and integration levels.
  • Experience working in a DevOps‑oriented environment, including CI/CD and production monitoring.
  • Helpful experience with running, maintaining or evolving ML‑powered systems in production.
  • Experience in experiment‑led or hypothesis‑driven teams with strong data and insights practices.
  • Prior work in Trust and Safety, fraud, abuse detection or moderation systems.
  • Experience in marketplace or eCommerce environments.
  • Hands‑on experience with message brokers or streaming platforms such as Kafka.
  • Experience with Docker and Kubernetes.
  • Familiarity with AWS infrastructure and infrastructure‑as‑code tooling.

Benefits

  • Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidised counselling and coaching with Self Space, Cycle to Work scheme and Green Commute Initiative.
  • Employee Assistance Programme (EAP) for 24/7 confidential support and Mental Health First Aiders across the business.
  • Work/Life Balance: 25 days annual leave (up to 5 days can be carried over) and one company‑wide day off per quarter.
  • Impact hours: up to 2 days additional paid leave per year for volunteering.
  • Fully paid 4‑week sabbatical after 5 years of consecutive service with Depop.
  • Flexible working: MyMode hybrid‑working model with Flex, Office‑Based and Remote options (role‑dependent) and the ability to work abroad for 4 weeks per year in UK tax treaty countries.
  • Family Life: 18 weeks of paid parental leave for full‑time employees, IVF leave, shared parental leave and paid emergency parent/carer leave.
  • Learning & Growth: budgets for conferences, learning subscriptions and other up‑skilling programmes.
  • Insurance and retirement: Life Insurance (3× your salary), pension match up to 6% of qualifying earnings.
  • Depop Extras: free shipping on Depop sales within the UK and special milestone celebrations with gifts and rewards.

EEO Statement

Depop is an equal opportunity employer. We provide employment opportunities without regard to age, ethnicity, religion, gender identity, sexual orientation, disability, pregnancy or maternity or any other protected status. We are open to accommodating all needs you may have. For disability accommodations, please email adjustments@depop.com.

Senior Backend Engineer - Trust Detection employer: Depop Limited

Depop is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Trust Detection squad. With a strong emphasis on employee well-being, flexible working arrangements, and generous benefits such as paid parental leave and sabbaticals, Depop supports personal and professional growth while encouraging impactful contributions to a safer online marketplace.

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Contact Details:

Depop Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Backend Engineer - Trust Detection

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those at Depop. 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 project or two that showcases your backend engineering chops, share them. Whether it's on GitHub or a personal website, let your work speak for itself.

Tip Number 3

Prepare for the interview like it’s a big game! Research Depop's Trust Detection squad, understand their challenges, and come ready with ideas on how you can contribute. Confidence is key!

Tip Number 4

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

We think you need these skills to ace Senior Backend Engineer - Trust Detection

Backend Engineering Fundamentals
Scala
Java
Python
Data-Intensive Systems
Event-Driven Systems
Scalable Services

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Backend Engineer role. Highlight your experience with backend languages like Scala, Java, or Python, and showcase any relevant projects that demonstrate your skills in building scalable systems.

Showcase Your Problem-Solving Skills:In your application, emphasise your ability to tackle ambiguous problems and how you've shaped solutions in the past. We love seeing examples of how you've taken ownership of projects and contributed to their success.

Highlight Collaboration Experience:Since this role involves working closely with ML engineers and cross-functional teams, make sure to mention any collaborative projects you've been part of. Share how you’ve communicated effectively and contributed to team goals.

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at Depop Limited

Know Your Tech Stack

Make sure you’re well-versed in the backend languages mentioned in the job description, like Scala, Java, or Python. Brush up on your knowledge of data-intensive systems and event-driven architectures, as these will likely come up during technical discussions.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled ambiguous problems in the past. Think about how you shaped solutions and what metrics you used to measure success. This will demonstrate your ability to operate effectively in a dynamic environment.

Collaboration is Key

Since this role involves working closely with ML engineers and cross-functional teams, be ready to talk about your experience collaborating with others. Highlight any mentoring roles you've taken on and how you’ve contributed to team improvements.

Emphasise Continuous Improvement

Be prepared to discuss how you’ve contributed to retrospectives or post-incident reviews in previous roles. Show that you value feedback and are committed to refining processes and systems, which aligns with the company’s focus on continuous improvement.