We're seeking a Lead DevOps & Platform Engineer to own and evolve the CI/CD infrastructure, cloud platform operations, and automation strategy for the Merchandising & Pricing platforms. This role requires deep Azure cloud expertise, CI/CD pipeline engineering (Jenkins, Azure DevOps), Infrastructure as Code (Terraform, Ansible), and container orchestration (Docker, Kubernetes). Cloud certification is required, and GCP experience is beneficial.

Duties & Responsibilities :

- Own and evolve CI/CD pipelines (Jenkins scripted pipelines with shared libraries, Azure DevOps Pipelines) for automated build, test, and deployment workflows across the Merchandising & Pricing platform ecosystem.

- Design, implement, and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and ARM/Bicep templates for Azure environments.

- Manage and optimize containerized workloads using Docker and Kubernetes (AKS), ensuring high availability and scalability.

- Administer and optimize cloud infrastructure on Azure (primary), with GCP as secondary - including compute, networking, storage, identity, and security.

- Implement and maintain monitoring, alerting, and observability solutions (Prometheus, Grafana, New Relic, Azure Monitor) to ensure system health and rapid incident response.

- Automate operational tasks through scripting (Shell, Python, Groovy) to reduce manual intervention, eliminate toil, and improve reliability.

- Ensure platform security, compliance, and governance through automated policies, guardrails, and security scanning in CI/CD pipelines.

- Collaborate with application engineering teams to streamline deployment processes, reduce release cycle time, and improve developer experience.

- Drive adoption of GitOps practices (FluxCD, ArgoCD) for declarative infrastructure and application deployment.

- Lead incident response and root cause analysis for production infrastructure issues; drive post-incident improvements.

- Manage environment provisioning (dev, staging, production) and ensure consistency and parity across environments.

- Coordinate with US-based engineering leadership on platform priorities, sprint planning, and cross-team dependencies.

- Drive adoption of AI-assisted tools for infrastructure automation, anomaly detection, predictive monitoring, and operational intelligence across the platform engineering function.

Requirements :

Years of Experience :

- 8+ years of DevOps, SRE, or platform engineering experience in enterprise environments.

- 4+ years working with Azure cloud services in production environments.

- 2+ years hands-on with Kubernetes orchestration (AKS preferred) in enterprise settings.

- Experience managing CI/CD pipelines at scale for distributed application teams.

Basic Qualifications :

- Proficiency with CI/CD tools - Jenkins scripted pipelines with shared libraries, Azure DevOps Pipelines, and pipeline-as-code practices.

- Strong experience with Docker, Kubernetes (AKS), and container orchestration in production environments.

- Hands-on experience with Infrastructure as Code (Terraform, Ansible, ARM/Bicep templates).

- Deep Azure cloud expertise - compute, networking, storage, identity, and security.

- Cloud certification required - Azure Administrator (AZ-104), Azure DevOps Engineer (AZ-400), or equivalent.

- Strong scripting skills (Shell, Python, Groovy) for automation and tooling.

- Experience with monitoring and observability (Prometheus, Grafana, New Relic, Azure Monitor).

- Knowledge of security best practices, network architecture, and compliance in cloud environments.

- Strong knowledge of Git, branching strategies, and version control best practices.

- Demonstrated ability to work in Agile teams and deliver high-quality infrastructure solutions on time.

- AI-native SDLC mindset - proven ability to leverage AI-assisted tools for infrastructure automation, code generation, and operational efficiency.