Senior DevOps Engineer, IT - Data Operations Engineering

Innovation starts from the heart.   At Edwards Lifesciences, we are dedicated to developing ground-breaking technologies with a genuine impact on patients' lives. At the core of this commitment is our investment in   cutting-edge   information technology, enabling our global teams to collaborate,   operate   efficiently, and advance our patient-focused mission.   As part of our IT team, your   expertise   and commitment will help build and   operate   the platforms that power Edwards' global data and analytics solutions. We are seeking a Senior DevOps Engineer to support Data Operations Engineering and own the operational backbone of our data platforms, including infrastructure as code, continuous integration and delivery, data quality monitoring and incident response, observability, security operations, and cloud cost optimization. Our multi-cloud estate includes Databrick s and Snowflake, with data services moving to Azure while AWS continues to host corporate source systems.   How you will make an impact   Build and   maintain   modular Terraform components that provision cloud and Databricks platform capabilities, including workspaces, cluster policies, secret scopes, networking, and Unity Catalog storage credentials and external locations, consistently across environments and clouds.   Design and   operate   automated GitLab CI/CD pipelines that deploy data platform code and infrastructure through development, staging, and production with approval gates and controlled promotion.   Monitor data quality and pipeline health, own first-line response to production alerts, resolve issues directly where possible, and escalate only when the root cause requires deeper pipeline or platform change.   Build, test, and continuously improve runbooks for recurring failure modes, automating remediation when the response can be made safe and repeatable.   Apply AI- and agent-assisted operations capabilities to accelerate detection, triage, and remediation as those capabilities mature.   Build end-to-end observability across Databricks, Snowflake, and orchestration services by bringing platform and execution metadata into unified dashboards, alerting, and pipeline service-level monitoring.   Containerize and   operate   platform workloads, orchestration, and CI runners on Docker and Kubernetes across EKS and AKS.   Operate and re-host Apache Airflow,   consolidating   self-managed instances onto Kubernetes or a managed runtime, while supporting migration of legacy build tooling to GitLab CI.   Embed security operations into the platform lifecycle through   secrets   management, short-lived credentials, least-privilege access, encryption key policies, audit logging, and vulnerability remediation.   Drive cloud cost optimization through cost attribution, policy enforcement, right-sizing, tagging standards, and anomaly alerting.   Support secure cross-cloud connectivity and data movement between AWS-resident source systems and the Azure data platform.   Identify   opportunities for automation, reusable standards, reliability improvement, and technical debt reduction, and   provide   technical guidance to team members.

(Required)   Bachelor's Degree in Computer Science , Engineering, Information Technology, or a related field and a minimum of 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, including identity, networking, and storage services.   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, including environment promotion, approval gates, and   secrets   handling.   Strong   proficiency   with Docker and