Senior Software Engineer, Data Engineering

Location: Full-time, in-office position in Carlsbad, California, United States

Salary: $121,400–$161,800 USD per year at the start of employment; additional compensation may include bonuses and equity awards.

Company

hirify.global creates large-scale interactive entertainment experiences and develops the technology foundation powering its games and online player experiences.

What you will do

• Design, build, and maintain high-throughput streaming and batch data processing services focused on raw and bronze-level ingestion.
• Develop stream-based applications for real-time data transformation, enrichment, validation, and routing.
• Own event schemas and data contracts, including Avro schemas and Schema Registry governance.
• Ensure scalability, fault tolerance, and performance of ingestion pipelines under heavy load.
• Contribute to deployment automation, observability, operational tooling, and CI/CD.
• Help design and implement cloud-native infrastructure for real-time and batch workloads.

Requirements

• 5+ years of professional experience building production software systems, preferably in distributed or data-intensive environments.
• Strong experience with Java and/or Scala and Python in backend or data-processing applications.
• Experience designing and operating streaming systems with Kafka, Kafka Streams, or similar technologies.
• Experience with event-driven architectures, schema evolution, compatibility, and real-time or near-real-time data pipelines at scale.
• Solid understanding of partitioning, fault tolerance, backpressure, and exactly-once or at-least-once processing semantics.
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices.

Nice to have

• Experience with Databricks, bronze-layer processing, or structured streaming.
• Experience deploying and scaling applications in Kubernetes or AKS environments.
• Experience with artifact repositories, Infrastructure-as-Code, Terraform, or Databricks Asset Bundles.
• Familiarity with Microsoft Azure, Apache Spark, CI/CD pipelines, automated testing, and deployment workflows.

Culture & Benefits

• Work in an inclusive, highly motivated environment focused on learning and collaboration.
• Join the Online Services and Data Engineering groups working with petabyte-scale data and streaming and batch sources.
• Access a full range of medical, financial, and other employee benefits.
• Total compensation may include a bonus and/or equity awards.

Hiring process

• Submit a resume and cover letter demonstrating the required skills.
• A recruiter will contact selected applicants with next steps and process guidance.