Sr. Backend Software Engineer

6 days ago

Santa Monica, California, United States Compunnel Inc. Full time

Sales Representative -- Anindya Mazumdar

Must-Haves:

Minimum 5 years of software development expertise in Spring Boot (Java)

Proficient in Python and Scala (due to data pipelines running on Spark and Airflow)

Versed in building high-level, available and scalable backend microservices for AWS

Knowledge of big data processing/technologies

Strong in APIs

Nice-to-Haves:

Knowledge in advertising and/or media industry

Experience with AI/ML technologies and typical technical stacks

Exposure to big data solutions like Airflow, Spark, Databricks, etc.

Bachelor's degree in a relevant field

Position Overview:

Team's mission is to enhance advertising and Disney's ad platform with machine learning and AI. We build solutions to find and decide every bit of potential for better advertising results. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data processing to microservices. Our team is seeking a Sr. Software Engineer who will be an important team member for our advertising machine learning platform, which focus on prediction and optimization engines for Disney's addressable ad platforms. The right person for this role should be experienced in machine learning (ML) technologies as well as solid in backend services.

Responsibilities:

Build next-gen experiment platform for advertising decisioning and A/B testing to fit evolving business needs

Build next-gen simulation platform to apply state-of-the-art solutions for complicated ad challenges and to further enhance business performance

Develop scalable and efficient approaches for large scale data analysis

Collaborate with researchers to productize cutting edge innovations

Design scalable distributed systems with performance, scalability, reusability and flexibility

Advocate the best engineering practices, including the use of design patterns, CI/CD, code review and automated test

As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing.

Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment

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