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.

(ref:hirist.tech)

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