Job Description :
Note to suppliers: open to candidates in any of the European countries client CW location strategy can support
This is a generalist mid-level backend position within the Ads Organization. Ads is the fuel that powers client 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 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
Required Qualifications
+ 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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.
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