Job Description

At Depop, Experimentation is a first-class citizen and we believe our success is a function of our experiment velocity. As an engineer in the ExpOps team, you’ll play a core role in ensuring Depop is equipped with cutting-edge, stable infrastructure, working with both first and third party software and services to enable data driven decisioning at scale.

Specifically, you’ll deliver against 2 key missions with their own technology stacks 

1. Experimentation: Enabling Product, Marketing and Data Science teams to manage the progressive delivery of their features and run ambitious experimentation programmes 
2. Activity Tracking: Capture behaviour across Depop’s ‘s customer touch points via an in-house,  event-driven architecture, collecting data used by dozens of downstream teams & services

Key Responsibilities

• Work closely with Product Managers, Analysts, Front-End and other Backend Developers to understand problems and to design solutions in the Experimentation & Analytics space
• Produce high-quality code that is well-structured and simple to understand that will be used by 1M+ active daily users
• Engage in a culture of continuous improvement by attending events such as blameless post-mortems, architecture reviews etc.
• You’ll independently own an entire lifecycle of medium projects of moderate complexity
• Maintain high quality documentation to support our features & services 

Examples of problems you’ll solve

• How do we implement and scale real time data transformation to produce derived metrics?
• How might we hydrate runtimes with behavioural metadata for finer grain experimentation?
• Can we enforce data quality?
• Can we infer data ownership and use this for targeted alerting on quality failures?
• How might we enforce ‘you build it, you own it’ culture?
• What should our bot detection and defence strategy look like?
• Can we reduce experiment durations by introducing variance reduction techniques?

Qualifications

• Be capable to write high quality code in Scala / Java / Python
• Distributed datastores (e.g. Redis, Redshift, AWS Athena)
• Message queues: (e.g. Kafka)
• Experience building scalable web applications serving 10,000s of requests per second
• Experience working with RDBMS, ideally Postgres
• DevOps mindset (CI/CD pipeline)
• Ability to proactively find and solve complex problems independently, but also know when to seek guidance or help from your peers.

Highly Desirable

• Experience with Scala / Java / Python
• Willing to upskill to Scala if currently unfamiliar
• Experience with Docker and Kubernetes
• Proficient in testing solutions at different levels —unit, integration, etc—
• Experience with event-driven architectures, preferably using Kafka
• Experience with relational or non-relational databases, preferably PostgreSQL, Redis, AWS Athena

Nice To Have

• Experience with Experimentation or Product Analytics tooling (e.g. Optimizely, Amplitude)
• Experience with data quality packages (e.g. Great Expectations, DeeQu)
• Experience with full stack development (exposure to Typescript/Swift/Kotlin)
• Experience in using production AWS infrastructure, ideally with Terraform
• Experience working with Frontend Engineers (Web/Mobile)
• Degree level knowledge of Computer Science or related technical field