Senior DevOps Engineer, IT - Data Operations Engineering

Edwards Lifesciences; India; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Edwards Lifesciences in India is seeking a Senior DevOps Engineer to own data platform operations, including IaC, CI/CD, data quality monitoring, security, and cost optimization across multi-cloud Databricks, Snowflake, Azure, and AWS.

You will build Terraform modules, run automated GitLab pipelines, implement observability, containerize workloads with Docker and Kubernetes, operate Airflow, and drive reliability with runbooks and incident response across global data operations.

Qualifications

• Bachelor's degree in CS/Engineering/IT or related field with 5+ years in DevOps or cloud infra.

Responsibilities

• Build and maintain Terraform components for cloud and Databricks platforms.

Skills

Cloud platform automation

CI/CD design

Python scripting

Linux troubleshooting

Team collaboration

Education

Bachelor's degree in CS/Engineering/IT

Tools

Terraform

GitLab CI

Docker

Kubernetes

Apache Airflow

Datadog

Grafana

Python

Job description

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 escalation 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.

What you will need (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 Kubernetes, including EKS or AKS and running CI/CD or orchestration workloads on Kubernetes.
• Hands-on experience operating Apache Airflow, including DAG deployment, scheduling, retries, backfills, pools, and failure recovery.
• 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.
• Demonstrated experience monitoring pipeline and data quality, owning first-line triage of production alerts, and writing and executing runbooks for recurring failures.
• 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 with the ability to work across cross-functional and geographically distributed teams.
• Ability to manage competing prioritie