Software Engineer II

About the Role

Key Responsibilities

• Design and develop real-time distributed systems to support core experiences across the company network.
• Collaborate with data scientists on developing and debugging AI search algorithms including depth first, A*, and uniform cost search.
• Apply stochastic and deterministic search algorithms to solve real-time use cases.
• Work with cloud computing platforms such as AWS, Azure, and GCP, and utilize their machine learning services like SageMaker.
• Program in Python, Scala, and Java.
• Utilize containerization technologies such as Docker and Kubernetes.
• Develop, train, and deploy machine learning models using tools including Databricks, Kubeflow, and Seldon.
• Implement Agile and DevOps methodologies to support iterative development and cross-functional collaboration.
• Manage code repositories using Git version control system.
• Set up end-to-end CI/CD pipelines using Jenkins and alerting tools.
• Work with relational (SQL) and NoSQL databases in machine learning applications.

Requirements

• Master's degree in Computer Science or related field or equivalent.
• Two (2) years of experience collaborating with data scientists on developing and debugging AI search algorithms.
• Experience with cloud computing platforms (AWS, Azure, GCP) and machine learning services (SageMaker).
• Proficiency in programming languages including Python, Scala, and Java.
• Experience with containerization technologies such as Docker and Kubernetes.
• Knowledge of data engineering and ETL processes.
• Experience developing, training, and deploying machine learning models using tools like Databricks, Kubeflow, and Seldon.
• Familiarity with Agile and DevOps software development methodologies.
• Experience with Git version control system.
• Ability to set up end-to-end CI/CD pipelines using Jenkins.
• Experience working with relational and NoSQL databases.

Nice to Have

• Experience working with cloud machine learning services such as SageMaker.
• Knowledge of alerting tools and monitoring CI/CD pipelines.
• Experience working in a collaborative, cross-functional team environment.

Qualifications

• Master's degree in Computer Science or related field or equivalent.

Benefits & Perks

• Salary range: $168,431.00 - $218,500.00/year.
• Telecommuting and/or working from home may be permissible pursuant to company policies.