Senior Site Reliability Engineer - Workflow Automation

We are looking for a Senior SRE to join our Platform Engineering team where you’ll own the reliability, scalability, and operational excellence of our workflow orchestration platforms - primarily Apache Airflow and Broadcom Automic/UC4. This is a hybrid role: roughly half your time will be spent on steady state operations and incident response, and the other half on engineering projects that meaningfully improve the platforms you support., * Serve as a primary escalation point for production support involving Airflow and UC4 - assisting end-user inquiries, incident root cause analysis, and implementing go-forward solutions

• Own and continuously improve SLOs, SLIs, and error budgets for orchestration platforms
• Monitor platform health, capacity, and performance; proactively identify and remediate issues before they impact users
• Partner with data engineering and application teams to troubleshoot DAG failures, job dependencies, and scheduling issues
• Manage patching, upgrades, and configuration management for Airflow and UC4 environments
• Collaborate with security to harden platform configurations and manage software vulnerabilities
• Contribute to on-call rotations and maintain runbooks and escalation procedures, * Design and build tooling and automation to reduce toil and improve developer experience for teams that depend on Airflow and UC4 (among other platforms the team offers)
• Lead or contribute to platform modernization initiatives- e.g., migrating workloads, improving deployment pipelines, containerizing components, or adopting managed service offerings
• Develop and maintain infrastructure-as-code (Terraform, Helm, Ansible, etc.) for platform components
• Build observability solutions (e.g., dashboards, alerting, log aggregation) that give teams better visibility into their workflows
• Build and enforce standards around platform use that help engineering teams adopt best practices at scale
• Participate in design reviews and contribute to the overall platform roadmap, * Deep hands-on experience with Apache Airflow - ideally including distributed executor configurations (Celery or Kubernetes), DAG authoring best practices, and multi-environment deployments
• Experience operating enterprise job scheduling platforms (e.g., Automic/UC4, Control-M, etc.)
• Strong Linux and Windows systems knowledge and comfort working in cloud environments (AWS preferred)
• Proficiency in Python for automation and tooling; familiarity with shell scripting
• Experience with container orchestration (Kubernetes, Docker) and CI/CD pipelines
• Solid understanding of observability principles - metrics, logging, tracing - and tools like ELK, Grafana, and Prometheus
• Demonstrated ability to drive incidents to resolution and communicate clearly under pressure
• A bias toward automation and a low tolerance for repetitive manual work, * Experience with managed Airflow offerings (e.g., AWS MWAA, Cloud Composer, Astronomer)
• Familiarity with data platform ecosystems (e.g., dbt, Kafka, Snowflake)
• Experience migrating workloads from legacy schedulers to modern orchestration tools
• Prior experience defining and managing error budgets and SLO frameworks

• Bachelor’s degree in a technical field or equivalent practical experience
• 5+ years of experience in SRE, DevOps, or platform engineering roles