Senior Backend Engineer

4 days ago

Bengaluru, Karnataka, India Wenger & Watson Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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

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