Software Engineer; Backend

Title

Software Engineer (Backend)

United Kingdom

6 Months Contract

This is a generalist mid-level backend position within the Ads Organization.

• Languages :
  Go, Python, Scala
• Frameworks :
  Spark, Thrift, Kafka
• Data stores :
  Postgres, Big Query, Redis, Druid
• Tools :
  Kubernetes, Airflow, Docker

• You will work with the existing engineering team and help contribute to the direction of the projection and team
• Collaborate with cross-functional teams to design, develop, and implement solutions
• Create and maintain APIs, rSpec testing suite, and middleware to facilitate data flow between systems
• Perform system analysis, troubleshooting, and debugging to identify and resolve integration issues
• Ensure compliance with security protocols and data privacy regulations during integration processes
• Troubleshoot and optimize application performance to provide optimal experience
• Ability to design maintainable database schemas and easy-to-understand data structures
• Ability to design technical solutions with little direction or guidance
• Engage in the team's organizational processes, such as planning, backlog refinement, and sprint reviews, to ensure effective collaboration and feedback
• Collaborate with product managers and designers to understand requirements and translate them into technical solutions
• Proactively identify and address potential technical issues and bottlenecks

• 3+ years of software development experience in one or more general purpose programming languages (Java, Scala, Go, C++, Python).
• Project Management :
  Support day-to-day project management tasks, including providing project updates and managing timelines.
• Problem Solving in Ambiguity :
  Tackle ambiguous problems with creativity and resourcefulness. Define and iterate on solutions in the face of incomplete information.
• Independent Drive :
  Proactively identify opportunities for improvement and drive initiatives forward with minimal supervision.

• Experience working in the Ads domain
• Experience or interest in the advertising business and understanding customer needs
• Experience with prompt engineering, machine learning or data science.