Senior Backend Engineer

About this job

In this role, your main focus would be on our backend engineering projects

• maintaining and improving real-time data processing services
• designing, developing, and maintaining ETL pipelines
• developing and maintaining data warehousing solutions
• sustaining, maintaining, and improving existing services and libraries

What You Will Do

• Produce quality code and raise the bar for team performance
• Collaborate with various platform/runtime backend team(s) to provide high-quality deliverables
• Communicate regularly with stakeholders, project managers, and quality assurance teams
• Design and develop scalable, maintainable, and secure software architecture for backend systems, including APIs, microservices, and data storage solutions
• Create detailed architectural blueprints and collaborate with cross-functional teams to align with business goals
• Ensure performance, scalability, and security, while continuously optimizing and updating the architecture to incorporate new technologies and best practices
• Assess technical feasibility and operational constraints to discover our platforms potential

Job requirements

What You Will Bring

• 5+ years of experience working as a Backend Engineer (preferably in advertising)
• Experienced in delivering interdisciplinary data science products in production covering design and implementation across backend, data, and ML stacks
• A postgraduate degree in a relevant field (e.g. Computer Science, IT Engineering)
• Experience with developing or fostering high-performance distributed systems
• Enthusiasm for solving interesting business problems
• Technical know-how:
• Min. 5 years with J2EE (Spring)
• Min. 3 years with Go
• Min. 5 years with relational- and non-relational databases (BigQuery, Postgresql, ScyllaDB, Redis)
• Min. 3 years of Cloud experience with GCP and AWS (Kubernetes experience)
• Airflow/Spark
• CD/CI experience
• GitHub

The following experience is welcome:

• 3+ years developing code in Python
• ML Ops Tools and common ML libraries