Senior DevOps Engineer

PVH Corp.; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

PVH Corp. seeks a Senior DevOps Engineer to join the Enterprise Data Platform team in Bengaluru, driving automation, deployment, monitoring, and operational excellence across global data platforms.

You will collaborate with data engineers, architects, security teams, and product stakeholders to implement reliable, secure, and scalable DevOps practices using Databricks, Terraform, and AWS services. The role emphasizes modern AWS-first data architecture, Databricks Asset Bundles, and

Qualifications

• Bachelor’s degree or equivalent in Computer Science, Information Technology, Engineering, Data Engineering, or a related field.
• 6+ years of DevOps, platform engineering, cloud engineering, or data platform engineering experience.
• Strong hands-on experience with GitLab CI/CD.
• Strong hands-on experience with Terraform.
• Experience with AWS cloud infrastructure, especially S3, IAM, KMS, STS, VPCs, subnets, security groups, VPC endpoints.

Responsibilities

• Design, build, and maintain GitLab CI/CD pipelines for EDP data assets, Databricks jobs, workflows, notebooks, SQL assets, and platform configurations.
• Build, maintain, and improve Terraform modules for AWS infrastructure, Databricks workspace configuration, networking, IAM, storage, and platform components.
• Implement and standardize Databricks Asset Bundles for deploying Databricks workflows, jobs, notebooks, permissions, and environment configurations.
• Support AWS-native platform components including S3, IAM roles, KMS, STS, VPCs, subnets, security groups, route tables, VPC endpoints, and cross‑account access patterns.
• Support structured release governance across multiple environments, including release tagging, deployment validation, rollback planning, and production readiness checks.
• Improve monitoring and alerting for Databricks jobs, workflows, pipelines, SQL warehouses, and platform health using logs, dashboards, and alerts.

Skills

GitLab CI/CD

Terraform

AWS cloud infrastructure

Education

Bachelor’s degree or equivalent

Tools

Databricks

Unity Catalog

Job description

About Us:

We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+.

One of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here.

POSITION SUMMARY:

We are looking for a Senior DevOps Engineer to join the Enterprise Data Platform team and help mature the engineering, automation, deployment, monitoring, and operational capabilities of our global data platform.

The Enterprise Data Platform is a strategic data foundation supporting analytics, reporting, data products, and business intelligence across multiple regions and business domains. The platform is moving toward a modern AWS-first data architecture, with Databricks, Delta Lake, Unity Catalog, AWS S3, IAM, KMS, PrivateLink, Terraform, GitLab CI/CD, and Databricks Asset Bundles as key technology components.

This role will be responsible for improving how EDP engineering teams build, test, deploy, monitor, and operate data platform solutions across environments. You will work closely with data engineers, architects, platform teams, security, cloud infrastructure, AMS support teams, and product stakeholders to create reliable, secure, automated, and scalable DevOps practices for EDP.

PRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:

Area

Responsibilities

DevOps & CI/CD

Design, build, and maintain GitLab CI/CD pipelines for EDP data engineering assets, Databricks jobs, workflows, notebooks, SQL assets, and platform configurations.

Infrastructure as Code

Build, maintain, and improve Terraform modules for AWS infrastructure, Databricks workspace configuration, networking, IAM, storage, and platform components.

Databricks Deployment Automation

Implement and standardize Databricks Asset Bundles (DAB) for deploying Databricks workflows, jobs, notebooks, permissions, and environment-specific configurations.

AWS Platform Engineering

Support AWS-native platform components including S3, IAM roles, KMS, STS, VPCs, subnets, security groups, route tables, VPC endpoints, PrivateLink, and cross-account access patterns.

Release Management

Support structured release governance across Dev, QA, QA2, Prod, and DR environments, including release tagging, deployment validation, rollback planning, and production readiness checks.

Monitoring & Observability

Improve monitoring and alerting for Databricks jobs, workflows, pipelines, SQL warehouses, batch SLAs, cloud services, and platform health using Databricks system tables, cloud logs, dashboards, and alerts.

Security & Access Controls

Automate and govern least-privilege access using IAM roles, service principals, Unity Catalog permissions, storage access controls, secrets, KMS encryption, and audit logging.

Network & Connectivity

Support secure connectivity patterns involving Databricks on AWS, S3, PrivateLink, VPC endpoints, enterprise network inspection, DNS, controlled ingress/egress, and cross-cloud transition scenarios.

Operational Excellence

Partner with AMS and engineering teams to improve incident triage, root cause analysis, batch monitoring, SLA visibility, production support handoffs, and operational runbooks.

Engineering Standards

Help define and enforce standards for GitLab workflows, merge request checks, deployment approvals, unit testing, release validation, and reusable deployment patterns.

Platform Modernization

Contribute to EDP’s AWS migration and modernization roadmap, including platform automation, environment consistency, scalable deployment patterns, and improved operational resilience.

SUPERVISORY RESPONSIBILITIES:

Direct: NA

BUDGETARY RESPONSIBILITIES:

None

RESOURCEFULNESS:

• GitLab CI/CD pipeline design and implementation
• Terraform modules for AWS and Databricks infrastructure
• Databricks Asset Bundles for Databricks deployment automation
• Databricks workspace configuration and environment promotion
• Dev, QA, QA2, Prod, and DR deployment patterns
• AWS S3, IAM, KMS, STS, VPC endpoints, PrivateLink, and cross-account access
• Databricks Unity Catalog permissions and governance automation
• Databricks workflows, jobs, notebooks, SQL warehouses, and cluster policies
• Release tagging, deployment approvals, rollback procedures, and release validation
• Monitoring for Databricks jobs, workflows, batch SLAs, and platform usage
• Operational runbooks for AMS, platform support, and engineering teams
• Secure access patterns for data ingestion, data products, and enterprise integrations

ENVIRONMENT:

Complex work environment with heavy interpersonal & technical demands

Requires multi-tasking and coordination across multiple geographic locations

QUALIFICATIONS & EXPERIENCE:

• Bachelor’s degree or equivalent experience in Computer Science, Information Technology, Engineering, Data Engineering, or a related field.
• 6+ years of DevOps, platform engineering, cloud engineering, or data platform engineering experience.
• Strong hands-on experience with GitLab CI/CD.
• Strong hands-on experience with Terraform for infrastructure automation.
• Experience with AWS cloud infrastructure, especially S3, IAM, KMS, STS, VPC, subnets, security groups, VPC endpoints