Software Development Engineer II (Java/Kafka/Spark)

Location: Austin, Texas, United States

Salary: $119,000–$166,500 annual total cash range, with potential pay up to $190,500 based on sustained performance

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, a B2B network, and travel advertising technology.

What you will do

• Develop and maintain streaming and batch data-processing pipelines for scalable, secure, high-quality commerce data products.
• Build and operate real-time and batch workflows using Kafka, Spark, and Amazon S3.
• Design Java-based data-intensive services, including low-level system design, APIs, and data models.
• Collaborate with product, data, and engineering teams to create reusable technical solutions and maintainable integrations.
• Own assigned components and features through implementation, automated testing, deployment, monitoring, troubleshooting, and incident resolution.
• Integrate and operate AI/ML-enabled solutions and workflows.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• At least 2 years of professional experience building production software, data-processing systems, or data pipelines.
• Proficiency in Java, data structures, algorithms, low-level system design, API design, and data modeling.
• Hands-on experience with streaming and batch processing using Kafka, Spark, and Amazon S3.
• Experience owning services, components, pipelines, or features across design, implementation, quality, deployment, and operational support.
• Familiarity with AI-driven tools or workflows that improve development productivity or product capabilities.

Nice to have

• Experience designing streaming and batch data-processing architectures.
• Experience improving the performance, scalability, resilience, or reliability of Kafka- and Spark-based systems.
• Experience with logging, metrics, monitoring, observability, alerting, data-quality validation, on-call, or incident response.
• Experience using data, experimentation, or pipeline metrics to validate technical approaches and measure impact.
• Experience integrating AI/ML capabilities into data pipelines or software services.

Culture & Benefits

• Medical, dental, and vision coverage.
• Paid time off and an Employee Assistance Program.
• Wellness and travel reimbursement.
• Travel discounts and IATAN membership.
• Inclusive and accessible recruiting experience with accommodation support.