TL;DR

Senior Software Engineer (Gamedev): Join the team focused on building a cutting-edge game analytics platform and tools to better understand players and enhance their experience in our games with an accent on reliability and performance. Focus on building scalable, reusable platforms and frameworks that enable Data Science and Game Development to deliver insights and unlock new possibilities for players.

Location: Must be in office in Carlsbad, CA

Salary: $121,400—$161,800 USD

Company

%hirify_global% creates world-class entertainment experiences.

What you will do

Design, build, and maintain high-throughput streaming and batch data processing services, focusing on raw and bronze-level ingestion.
Develop and operate stream-based applications for real-time data transformation, enrichment, validation, and routing.
Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance.
Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load.
Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD.

Requirements

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

Nice to have

Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming.
Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS).
Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories).
Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles).
Familiarity with the Microsoft Azure cloud ecosystem.
Familiarity with Apache Spark.
Familiarity with CI/CD pipelines, automated testing, and deployment workflows.

Culture & Benefits

Committed to creating a work environment that promotes equal opportunity, dignity, and respect.
Provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process.