Job Title: Software Engineer - Backend
Contract Duration: 6 months with potential for extension
Location: Remote - UK
Job Description:
This is a generalist mid-level backend position within the Ads Organization. Ads are the fuel that powers the client's mission. Technologies used on the team include:
Languages: Go, Python, Scala
Frameworks: Spark, Thrift, Kafka
Data stores: Postgres, BigQuery, Redis, Druid
Tools: Kubernetes, Airflow, Docker
Job responsibilities:
* You will work with the existing engineering team and help contribute to the direction of the project 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
Required Qualifications:
* 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.
Bonus Points:
* 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.