Sr. Backend Software Engineer (spring boot)
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Bachelors degree in a relevant field
Position Overview:
Teams mission is to enhance advertising and Disneys 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
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.
Bachelors degree in a relevant field
Position Overview:
Teams mission is to enhance advertising and Disneys 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
Key Skills
- Business Intelligence
- Bidding
- Accounts Assistant Credit Control
- Account Development
- Content Development
- Lab Testing
