Senior Data Ops Engineer, Data Activation & Products (SRE)

Location: Santa Monica, California, United States; onsite work is available at the Los Angeles (Pen Factory) office Monday through Thursday, or the role may be remote.

Salary: $102,800–$190,204 annual base pay in the U.S.; incentive compensation may also be available.

Company

hirify.global develops, publishes, and distributes interactive gaming and entertainment products, including major video game franchises.

What you will do

• Monitor service health, respond to alerts, and participate in incident response across cloud, Kubernetes, application, and data platform environments.
• Investigate reliability issues across Kubernetes, networking, DNS, Databricks, Spark, orchestration systems, event systems, and dependent services.
• Build dashboards, alerting, runbooks, operational documentation, and Grafana-based monitoring for platform and streaming signals.
• Improve reliability for Databricks workflows, Spark streaming, Airflow/Astronomer DAGs, dbt jobs, event systems, APIs, workers, and internal applications.
• Automate repetitive operational work, improve deployment and rollback safety, and support platform modernization and migration efforts.
• Partner with data engineers, analytics engineers, and software engineers on reliability standards and post-incident corrective actions.

Requirements

• 5+ years of experience in SRE, DevOps, cloud infrastructure, platform engineering, software engineering, data platform operations, or related production-support roles.
• Hands-on experience with Kubernetes-based workloads, deployment systems, cloud infrastructure, or production application environments.
• Familiarity with Linux, HTTP, DNS, containers, Kubernetes, Git-based workflows, and scripting in Bash, Python, or similar languages.
• Experience with monitoring, logs, metrics, dashboards, alerting, and incident management practices.
• Experience with event systems such as Kafka, Google Pub/Sub, Kinesis, or similar technologies, including consumers, retries, lag, and dead-letter queues.
• Strong troubleshooting and communication skills, with an interest in data platforms, orchestration, streaming workloads, and production data services.

Nice to have

• Experience with Helm, ArgoCD, GitOps, CI/CD automation, or Terraform.
• Familiarity with Databricks, Spark Structured Streaming, Airflow, Astronomer, dbt, Kafka, Pub/Sub, object storage, or lakehouse architectures.
• Experience with Grafana, Prometheus, Cloud Monitoring, Datadog, Splunk, or similar observability platforms.
• Exposure to data reliability concepts, SLOs, SLAs, error budgets, postmortems, or formal reliability practices.

Culture & Benefits

• Onsite or remote work arrangements, subject to business needs.
• Medical, dental, vision, healthcare spending, life, disability, and related insurance programs.
• 401(k) with company match, tuition reimbursement, and charitable donation matching.
• Paid holidays, vacation, sick time, parental leave, and other leave programs.
• Mental health, wellbeing, fitness, gaming, and additional voluntary benefit programs.
• Relocation assistance may be available when the company requires a geographic move for the role.