Senior Site Reliability Engineer - Workflow Automation (Apache Airflow)

TL;DR

Senior Site Reliability Engineer - Workflow Automation (Apache Airflow): Owning and improving the reliability, scalability, and operational excellence of workflow orchestration platforms with an accent on Apache Airflow, Automic/UC4, observability, and infrastructure automation. Focus on designing platform tooling, modernizing deployments, resolving production incidents, and reducing operational toil across complex scheduling environments.

Location: Hybrid role based in Austin, United States

Company

hirify.global is an investment management firm offering financial products and services.

What you will do

• Provide primary production support and incident escalation for Apache Airflow and Automic/UC4 platforms.
• Define and improve SLOs, SLIs, error budgets, monitoring, capacity, and platform performance.
• Design automation and tooling that reduce operational toil and improve developer experience.
• Modernize platforms through workload migrations, deployment improvements, containerization, and managed services.
• Develop infrastructure as code and observability solutions using tools such as Terraform, Helm, Ansible, ELK, Grafana, and Prometheus.
• Partner with data engineering, application, and security teams while maintaining runbooks and on-call procedures.

Requirements

• Bachelor’s degree in a technical field or equivalent practical experience.
• 5+ years of experience in SRE, DevOps, or platform engineering.
• Deep hands-on experience with Apache Airflow, including distributed executors, DAG best practices, and multi-environment deployments.
• Experience with enterprise job scheduling platforms, strong Linux and Windows knowledge, and cloud environments, preferably AWS.
• Proficiency in Python and shell scripting, plus experience with Kubernetes, Docker, and CI/CD pipelines.
• Strong observability knowledge and the ability to resolve incidents and communicate clearly under pressure.

Nice to have

• Experience with Automic/UC4 and managed Airflow services such as AWS MWAA, Cloud Composer, or Astronomer.
• Familiarity with dbt, Kafka, Snowflake, or other data platform technologies.
• Experience migrating workloads from legacy schedulers and managing error budget or SLO frameworks.

Culture & Benefits

• Hybrid work environment with participation in on-call rotations.
• Comprehensive benefits supporting employees and their families.
• Educational initiatives and career development programs.
• Programs and celebrations focused on company history, culture, and growth.