Senior Application Engineer, Confluent

• Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc
• Minimum of 5 years of experience in a software engineer and/or data infrastructure role, with a proven track record of building and maintaining data streaming applications
• Proficiency in backend development languages such as Golang, Java, Python, or Node.js
• Hands-on experience and usage of cloud services (AWS, Azure, or GCP)
• Hands-on experience with Apache Kafka and/or Confluent, event-driven architectures, and stream processing applications
• Familiarity with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra)
• Knowledge of containerization and orchestration technologies like Docker and Kubernetes
• Proficiency in version control tools, especially Git, and familiarity with Agile development methodologies
• Commitment to writing clean, maintainable code and performing peer reviews
• Excellent communication and teamwork skills, with the ability to work collaboratively in a fast-paced, agile environment. A passion for learning new technologies and a drive to stay updated with industry trends and best practices. Exceptional problem solving skills and detail-oriented mindset

Desirable

• The Corporate Solutions Design & Engineering (CSDE) team helps design & deliver solutions that are at the intersection of GTM Operations, Business Systems, Data & IT
• The team is both highly functional as well as technical, with a deep understanding of Product, Customer & Business domains
• The primary focus of the team is to architect, design, build, and deploy working cross-functionally with other teams for delivery
• Additionally, the team leads data governance & architecture for the internal adoption of Confluent’s Data Streaming Platform and associated real-time use cases
• The Sr Application Engineer will be part of the Corporate Solutions Design & Engineering team
• They will work closely with Data Engineers, Business Analysts, Developers, Administrators, and Project/Program Managers to design and build technical solutions, specifically focused on our Customer Intelligence initiatives
• Partner with cross-functional teams to understand business objectives and requirements, as well as identify measurable success criteria
• Build real-time, event-driven applications using Confluent Cloud, Flink, Kafka Streams, custom microservices, and/or other custom tools that solve business objectives and requirements, adhere to architectural and data governance standards
• Contribute to the design of solutions leveraging Confluent’s Data Streaming Platform, including creation of architecture diagrams and technical documentation
• Communicate technical solutions and design tradeoffs effectively to business stakeholders
• Work cross-functionally with other business and technical teams to ensure that solutions are delivered, maintained, and adhere to standards
• Document and share best practices, learn new analytical techniques, contribute to defining data governance & architecture standards for the data streaming platform, and champion an organizational culture where data is central to decision making