Senior Site Reliability Engineer - Workflow Automation

Dimensional Fund Advisors, L.P.

$120K — $145K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a technical field or equivalent experience
  • 5+ years of experience in SRE, DevOps, or platform engineering
  • Deep hands-on experience with Apache Airflow, including distributed executor configurations
  • Experience operating enterprise job scheduling platforms like Automic/UC4
  • Strong knowledge of Linux and Windows systems, with cloud environment experience (AWS preferred)
  • Proficiency in Python for automation, and familiarity with shell scripting
  • Experience with container orchestration and CI/CD pipelines
  • Understanding of observability principles and related tools like ELK and Grafana
  • Ability to communicate clearly under pressure and drive incidents to resolution
  • Bias toward automation and minimizing repetitive tasks

Responsibilities

  • Serve as a primary escalation point for production support involving Airflow and UC4
  • Own and continuously improve SLOs, SLIs, and error budgets for orchestration platforms
  • Monitor platform health, capacity, and performance, proactively identifying and remediating issues
  • Partner with data engineering and application teams to troubleshoot various issues
  • Manage patching, upgrades, and configuration management for Airflow and UC4 environments
  • Collaborate with security to harden platform configurations
  • Contribute to on-call rotations and maintain runbooks and escalation procedures
  • Design and build tooling to improve developer experience and reduce toil
  • Lead platform modernization initiatives, such as migrating workloads and improving deployment pipelines
  • Develop and maintain infrastructure-as-code for platform components
  • Build observability solutions to enhance visibility into workflows
  • Participate in design reviews and contribute to platform roadmap

Benefits

  • Hybrid work model
  • Opportunity to work on cutting-edge technologies
  • Focus on continuous improvement and operational excellence
  • Collaborative work environment
  • Chance to influence platform modernization initiatives
Full Job Description

Job Description:

Aboutthe Role:
We arelooking for a Senior SRE to join our Platform Engineering team whereyoullown the reliability, scalability, and operational excellenceof our workflow orchestration platforms 6primarily Apache Airflow and BroadcomAutomic/UC4.This is a hybrid role:roughly halfyour time will be spent onsteady stateoperationsand incident response, and the other half on engineering projects that meaningfully improve the platforms you support.

This is a role for someone who is genuinely motivated by the pursuit of excellence 6 not justsustaining whatworks butrelentlessly refining it.You care deeply about the craft of reliability and find satisfaction in the distance traveled between good and great, whether that means tightening observability,reducing toil, or building something that makes support activities easier to handle.

WhatYoullWork On:
Operations & Reliability ( 50%)
  • Serve asa primary escalation point for production supportinvolvingAirflow and UC4 6assistingend-userinquiries,incident root cause analysis, andimplementing go-forward solutions
  • Own and continuously improve SLOs, SLIs, and error budgets for orchestration platforms
  • Monitor platform health, capacity, and performance; proactivelyidentifyand remediate issues before theyimpactusers
  • Partner with data engineering and application teamsto troubleshoot DAG failures,job dependencies, and scheduling issues
  • Managepatching,upgrades, and configuration management for Airflowand UC4 environments
  • Collaborate with security to harden platform configurations and manage software vulnerabilities
  • Contribute to on-call rotations andmaintainrunbooks and escalation procedures

Platform Engineering ( 50%)
  • Design and build tooling and automation to reduce toil and improve developer experience for teams that depend onAirflow and UC4 (among other platforms the teamoffers)
  • Lead or contribute to platform modernizationinitiatives 6 e.g., migrating workloads, improving deployment pipelines,containerizing components, or adopting managed service offerings
  • Develop andmaintaininfrastructure-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 aroundplatform usethat help engineering teams adopt best practices at scale
  • Participate indesignreviews and contribute to the overall platform roadmap


WhatWereLooking For:
  • Bachelors degree in a technical field or equivalent practical experience
  • 5+ yearsof experience in SRE, DevOps, or platform engineering roles
  • Deep hands-on experience with Apache Airflow 6ideally including distributed executor configurations (Celery or Kubernetes), DAG authoring best practices,and multi-environment deployments
  • Experience operating enterprisejob scheduling platforms (e.g.,Automic/UC4,Control-M, etc.)
  • Strong Linux and Windows systems knowledgeand comfort working in cloud environments (AWS preferred)
  • Proficiencyin Python forautomation and tooling; familiarity with shell scripting
  • Experience with container orchestration (Kubernetes, Docker) and CI/CD pipelines
  • Solid understanding of observability principles 6 metrics, logging, tracing 6and 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

Nice to Have:
  • Experience withAutomic/UC4
  • 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

#LI-Hybrid

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