- 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
- Bachelor’s degree in a technical field or equivalent practical experience
- 5+ years of experience in SRE, DevOps, or platform engineering roles
- 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 Automic/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
Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.
It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.
Skills Required
- Bachelor's degree in a technical field or equivalent practical experience
- 5+ years of experience in SRE, DevOps, or platform engineering roles
- Deep hands-on experience with Apache Airflow (including Celery or Kubernetes executors, DAG authoring, multi-environment deployments)
- Experience operating enterprise job scheduling platforms (e.g., Automic/UC4, Control-M)
- Strong Linux and Windows systems knowledge
- Experience 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
- Experience developing and maintaining infrastructure-as-code (Terraform, Helm, Ansible)
- Solid understanding of observability principles and tools (ELK, Grafana, Prometheus)
- Demonstrated ability to drive incidents to resolution and communicate clearly under pressure
- Bias toward automation and reducing repetitive manual work
Dimensional Fund Advisors Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dimensional Fund Advisors and has not been reviewed or approved by Dimensional Fund Advisors.
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Wellbeing & Lifestyle Benefits — Work–life balance is portrayed as notably strong and is often framed as part of the total package. Feedback suggests lifestyle and culture help offset only average cash levels for many roles.
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, mental‑health support, and HSA/FSA options. An on‑site clinic in Austin and wellness programs are cited as meaningful adds to the overall offering.
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Leave & Time Off Breadth — PTO and holidays are characterized as generous, with parental leave and adoption assistance highlighted as part of the package. Feedback suggests time‑off policies are a consistent bright spot across locations where available.
Dimensional Fund Advisors Insights
What We Do
Dimensional is a leading global investment firm that has been translating academic research into practical investment solutions since 1981. Guided by a strong belief in markets, we help investors pursue higher expected returns through a systematic investment process that integrates research insights with advanced portfolio design, management, and trading while balancing tradeoffs that can impact returns. Dimensional is headquartered in Austin, Texas, and has 14 global offices across North America, Europe, and Asia. As of March 31, 2022, Dimensional manages $659 billion for investors worldwide.
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