Senior DevOps Engineer

About the Role

We are seeking a Senior Data DevOps Engineer to enhance our data platform and automation capabilities on AWS. This role sits at the intersection of DevOps and Data Engineering, with a focus on scalability, automation, and reliability. You will design, implement, and optimize data pipelines and infrastructure leveraging AWS-native services and open-source tools like Airflow. You will partner with data engineers, analysts, and platform teams to deliver a secure, high-performance, and resilient data ecosystem.

Key Responsibilities

• Architect, implement, and maintain AWS-based data infrastructure leveraging DMS, Redshift, Glue, and Athena.
• Build and manage Airflow DAGs for orchestrating ETL/ELT workflows.
• Automate data migrations and integrations with AWS DMS and Glue.
• Develop and maintain Terraform modules for data infrastructure.
• Design and manage CI/CD pipelines for data workflows and infrastructure changes.
• Optimise Redshift clusters, Glue jobs, and Athena queries for performance and cost efficiency.
• Ensure reliable data delivery pipelines that power Looker dashboards and reports.
• Implement observability (logging, monitoring, alerting) for data pipelines and services.
• Enforce IAM, security policies, and compliance standards across the data ecosystem.
• Collaborate with data engineers and analysts to improve data reliability, scalability, and governance.
• Mentor junior engineers and disseminate best practices in DevOps/DataOps.

Required Skills & Experience

• 7+ years of experience in DevOps, DataOps, or Cloud Data Engineering.
• Strong hands-on expertise with AWS data services:
  • DMS for database migrations/replication.
  • Redshift for warehousing and performance tuning.
  • Glue for ETL workflows.
  • Athena for query optimization over S3.
• Strong experience with Apache Airflow for pipeline orchestration.
• Proficiency in Terraform for IaC (infrastructure as code).
• Scripting/automation expertise in Python and Bash.
• Strong CI/CD knowledge (GitLab CI, GitHub Actions, Jenkins, or ArgoCD).
• Familiarity with Looker (modeling best practices, ensuring reliable data delivery to dashboards).
• Strong experience with monitoring and observability for data platforms (Grafana, Prometheus, Datadog, ELK).
• Solid understanding of cloud security, IAM, and networking in AWS.

Nice-to-Have

• Experience with streaming data platforms (Kafka, Kinesis).
• Exposure to MLOps tools (SageMaker, ML pipelines).
• Strong SQL skills and LookML knowledge for Looker optimization.
• Prior experience leading or mentoring DevOps/DataOps engineers.
• Knowledge of cost optimization and data governance frameworks in AWS.

Location & Eligibility

All applicants must be currently authorized to work in the United States on a full-time basis.

Storable is a fully distributed company, but is currently only registered for employment in certain states. To be eligible for employment, you must reside in: AL, AZ, CA, CO, CT, FL, GA, ID, IL, IN, IA, KS, LA, MD, MA, MI, MN, MO, MS, NC, NE, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI, WY.

About Us

At Storable, we're redefining property management for specialty real estate. Tailored for the self-storage, marine, and RV & camping industries, we seamlessly integrate management software with marketplace listings, websites, CRM, insurance, payments and more.

Benefits and Perks

• Generous health coverage, 401(k) match, and HSA/HRA contributions.
• Flexible vacation policy.
• Be More rewards and recognition program.
• Volunteer Time Off and mental health recharge time.
• Comprehensive parental, caregiver, and pet bereavement leave.
• Home office stipend and data allowance.
• Fertility care support and financial planning resources.
• Direct Student Loan Payment Program.

Compensation

Potential Pay Range: $125,000 USD - $175,000 USD. The compensation offered is based on internal budget, skills, and experience level. Please discuss variable pay plans with your recruiter.