Software Dev Engineer II

Yahoo is a technology company focused on connecting brands and partners with a large audience. They are seeking a Software Dev Engineer II to build platform services and infrastructure, ensuring reliability and performance in production.

Responsibilities:

• Build platform services used by multiple internal product teams, focusing on developing experience and self-service capabilities
• Own the services you build, ensuring they run reliably in production and addressing issues end-to-end
• You would be building new infrastructure in AWS and GCP, including event-driven pipelines and workflow orchestration systems
• Design and maintain data pipelines that ingest, enrich, and distribute content across the organization
• You would be part of defining the foundations of the infrastructure that will power the next generation of products at Yahoo, using the latest in cloud services, frameworks and open source tools
• Help to scope, plan, and implement best-in-class software practices, procedures, and delivery
• Contribute to implementation guidelines and execution strategy for your team’s goals
• Collaborate with your peers, product managers, and engineering leaders on new features and enhancements

Requirements:

• B.S. or M.S. in Computer Science (or equivalent experience)
• 3+ years of strong programming experience in Python, Go, Javascript, etc
• Experience with architecting infrastructure in GCP and or AWS
• Experience with message queue and event streaming (Pub/Sub, SNS/SQS, or similar)
• In-depth knowledge of RDBMS and NoSQL databases (e.g., PostgreSQL, MySQL, Spanner, MongoDB, DynamoDB, BigQuery)
• Strong understanding of CI/CD pipelines, build automation, and version control
• Familiarity with Infrastructure as Code tools like Terraform
• Experience with monitoring, logging, and alerting frameworks (Datadog)
• Solid experience with containerization technologies (e.g. Docker, Kubernetes)
• Experience architecting, implementing and maintaining web server applications
• Proficiency in managing APIs and integrating third-party APIs
• Familiarity with modern front-end frameworks (React, Vue, Angular)
• Experience building or operating data ingestion or enrichment pipelines
• Experience with workflow orchestration tools (Airflow, Temporal.io, or similar)
• Familiarity with schema management, data validation, and data governance
• Exposure to ML-adjacent systems (feature stores, enrichment systems, model inference)
• Demonstrated ability to apply AI tooling in real-world production environments