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This engineer will join the team working on our Syndication platform which powers our syndication network allowing clients to share user generated content like ratings and reviews, questions and answers across more than 2.3 billion client products. As a staff engineer on the team, you will be responsible for leading the design, development, delivery and ownership of a range of solutions to extend Bazaarvoice's Syndication network.
Job Responsibility:
Lead the design and delivery of high-performance, scalable big data storage and processing solutions, ensuring they align with long-term business goals
Drive Test Driven Development (TDD) and high-quality coding standards. Actively lead code reviews and champion software development best practices across the engineering organization
Partner with cross-functional teams, Senior Staff, and Principal Engineers to solve complex architectural challenges and break down silos
Take full ownership of technical solutions from conception to production, ensuring reliable, high-quality delivery in an Agile environment
Act as a mentor to junior and senior engineers, fostering a culture of continuous learning and technical excellence
Lead the investigation and resolution of complex production issues and outages. Participate in the on-call rotation
Requirements:
7+ years of professional development experience, with expertise in Java and the TypeScript/JavaScript ecosystem
Expertise in TDD and writing clean, maintainable, and testable code for distributed environments
Experience of big data storage and processing technologies including Apache Spark, dbt, Redshift, and Snowflake
Strong experience with AWS services (Lambda, S3, Step Functions, EventBridge) and building event driven, serverless architectures
Proficiency in NoSQL (DynamoDB/MongoDB)
Expert knowledge of Terraform, CloudFormation, or SAM
Deep understanding of CI/CD pipeline architecture and DevOps practices to enable rapid, safe deployments
Familiarity with search engines like Elasticsearch or OpenSearch for log analysis and data discovery