Full-stack Engineer

• Architect, implement, and optimize batch and streaming data pipelines to move, transform, and process structured and unstructured data at scale
• Apply software engineering best practices (code reviews, testing, CI/CD, version control) to data pipeline development
• Ensure pipelines are modular, reusable, and extensible
• Build monitoring, logging, and alerting frameworks to ensure pipeline reliability and data quality
• Implement data validation, schema evolution handling, and error recovery mechanisms
• Troubleshoot production issues and perform root cause analysis
• Partner with delivery teams to understand requirements and deliver end-to-end solutions
• Mentor junior engineers, set coding standards, and advocate for best practices in pipeline development
• Contribute to technical design reviews, architectural decisions, and long-term data platform strategy
• Optimize pipelines for high-volume, low-latency data processing and evaluate modern frameworks and cloud-native solutions (e.g., Databricks, Kafka, Airflow)
• Ensure systems can handle future growth and evolving data use cases

Senior Software Engineer

Staff Engineer, Service Framework

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Principal Software Engineer

Software Engineer

Tech Lead Engineer – Full Stack, LLM Systems