Staff Software Engineer

Qualifications

• Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
• 8+ years of experience in software engineering, with a track record of delivering high-quality products.
• Hands-on experience with columnar/analytical data stores (e.g., ClickHouse, Apache Druid, Snowflake, BigQuery, Redshift, or Vertica), including schema design, partitioning, and query optimization for large-scale analytical workloads.
• Experience building and operating distributed data pipelines for high-volume ingestion, transformation, and reconciliation (e.g., Apache Spark, Kafka, Flink, Airflow, or dbt).
• Experience creating dashboards and analytic reports with tools such as Power BI, Tableau, or Looker.
• Proficiency in Python, Java, or similar object-oriented languages.
• Experience with modern front-end frameworks such as Angular, React, or Vue.
• Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
• Familiarity with automated testing frameworks (e.g., JUnit, Playwright, TestNG) and integrating tests into CI/CD pipelines
• Understanding software quality principles including reliability, observability, and production readiness.
• Ability to troubleshoot complex systems and optimize performance across the stack.
• Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.
• Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems
• Build and deliver high-impact AI Native products that powers digital experiences for millions of users.
• Collaborate in a culture that values craftsmanship, quality, and innovation.
• Work as AI Native engineer and us AI productivity and automation tools that enhance engineering excellence and drive product reliability.
• Be part of a culture that encourages innovation, continuous learning, and shared success.