Backend Engineer II, Location Platforms

BS or MS in Computer Science or a related technical discipline, or equivalent practical experience.

2+ years of hands-on software development experience building scalable applications or platform services.

Proficiency in Java, with solid grounding in object-oriented design.

Working knowledge of big data systems (Spark, Hive, Hadoop) and cloud platforms such as AWS or GCP; Python or Scala for data processing at scale.

Working experience in UNIX/Linux environments.

Hands-on experience using AI-assisted development tools (e.g., Claude Code, GitHub Copilot, or Cursor) in day-to-day engineering work, and a willingness to adopt LLM-based workflows to improve engineering velocity.

Understanding of web service APIs and RESTful design.

Experience working with large datasets and batch or streaming data pipelines.

Strong oral and written communication skills, with a collaborative, customer-first approach and openness to feedback.

Preferred Qualifications

Experience with real-time and streaming systems (Kafka, Flink, or similar) for high-volume signal processing.

Experience building and operating containerized services on Kubernetes and Docker.

Familiarity with Infrastructure-as-Code (Terraform, Ansible) and automated CI/CD pipeline design and maintenance.

Awareness of privacy and consent requirements for handling user location data (GDPR, CCPA, or similar frameworks).

Exposure to machine learning concepts and their application to location inference or signal quality.

Interest or experience applying AI tooling — custom prompts, agents, or automated workflows — to engineering problems such as data quality, pipeline debugging, or developer productivity.

Any exposure to geospatial or location data is a nice-to-have, not a requirement — map data, geocoding, IP geolocation, spatial indexing, POI/place data, or trajectory processing. We're glad to teach the domain to strong backend engineers.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

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