LiveRamp is looking to solve challenging Identity Resolution problems by building innovative solutions and developing new technologies that will change the Identity Resolution landscape. They aim to build a scalable SaaS platform that is cloud agnostic and provides customizable, high-performance matching engines for global data challenges.
Requirements
- Proficient in common programming languages such as Java, Python, Kotlin, Go.
- Have prior hands-on experience with public cloud technology.
- Have experience with designing and implementing interfaces and infrastructure for large volume services and APIs.
- Are comfortable evaluating and adapting to the latest tools and industry best practices.
- Experience working with big data technologies (Spark, Airflow,Dataflow,BigQuery,Cloud Storage, etc).
- Experience with Terraform or AWS CloudFormation.
- Familiarity working with cloud-based services and infrastructure.
Responsibilities
- Build innovative solutions to some of the most challenging Identity Resolution problems.
- Develop new technologies that will forever change the Identity Resolution landscape.
- Help your fellow engineers design and implement a scalable SaaS platform that is cloud agnostic.
- Build customizable, high-performance matching engines that can be deployed in regions all over the world to solve localized and client hosted data challenges.
- Implement customizable frameworks for graph access.
- Treat infrastructure as code leveraging tools like Docker, Kubernetes, Helm, Terraform, and AWS Cloud Formation.
- Build robust testing and automation frameworks to support production products.
Other
- 2+ years of hands-on development experience
- Have strong collaboration skills, with a proven ability to deliver on projects.
- Have a passion for working on scalable services, APIs, and infrastructures.
- Have a product mindset and enjoy solving complex business problems with technology.
- Have strong written and spoken communication, with the ability to effectively change communication style based on the audience (fellow engineers, marketing, management, product, engineering, data scientists). Ability to explain complex technical topics at appropriate levels of detail for each audience.
