Requirements Summary

5+ years of experience in DevOps, platform engineering, site reliability engineering, or cloud infrastructure roles

Benefits

Education

Bachelor's degree

Full Job Description

Role Overview As a Senior DevOps Engineer, you will build and operate the platforms that power Edwards' global data and analytics solutions. You will own the operational backbone of our data platforms, including infrastructure as code, continuous integration and delivery, data quality monitoring, and incident response. Our multi-cloud estate includes Databricks and Snowflake, with data services moving to Azure while AWS continues to host corporate source systems. What You Will Do You will build and maintain modular Terraform components, design and operate automated GitLab CI/CD pipelines, monitor data quality and pipeline health, and build end-to-end observability across Databricks, Snowflake, and orchestration services. Why It Might Be a Fit You will identify opportunities for automation, reusable standards, reliability improvement, and technical debt reduction, and provide technical guidance to team members. You will also work with cross-functional and geographically distributed teams to manage competing priorities in a fast-paced environment. Requirements Bachelor's Degree in Computer Science, Engineering, Information Technology, or a related field 5 years of relevant experience in DevOps, platform engineering, site reliability engineering, or cloud infrastructure roles Strong hands-on experience administering and automating workloads on both Amazon Web Services and Microsoft Azure Demonstrated expertise building modular, reusable infrastructure with Terraform across multiple environments Proven experience designing and maintaining CI/CD pipelines in GitLab CI or an equivalent platform Strong proficiency with Docker and Kubernetes Hands-on experience operating Apache Airflow Solid Linux systems administration, shell scripting, and troubleshooting skills Hands-on experience implementing metrics, logging, dashboards, and alerting using tools such as Datadog or Grafana Working knowledge of secrets management, least-privilege access control, encryption key management, audit logging, and vulnerability remediation Working knowledge of cloud cost monitoring, attribution, tagging standards, and right-sizing practices Proficiency in Python or another scripting language used for automation and tooling Excellent analytical, troubleshooting, communication, and organizational skills Benefits Competitive salaries Performance-based incentives Wide variety of benefits programs to address the diverse individual needs of employees and their families

Skills and Technologies