Engineering Manager - Operations

New
Remote-friendly opportunity based in IndiaFull-TimeManager
Salary not disclosed
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Job Details

Required Skills
AWSKubernetesAzureRelease ManagementCI/CDDevOpsTerraform

Requirements

  • Proven experience leading platform engineering, infrastructure, or operations teams in complex, distributed environments.
  • Experience managing multiple teams (10–20 people) with accountability for delivery, operations, and outcomes.
  • Strong background in release management, CI/CD pipelines, and enterprise-scale deployment operations.
  • Hands-on experience with cloud platforms such as AWS and/or Microsoft Azure, and container orchestration (e.g., Kubernetes).
  • Solid experience with Infrastructure as Code tools (e.g., Terraform) and automation-driven delivery models.
  • Demonstrated success in cost optimisation and operational efficiency initiatives.
  • Familiarity with Agile or SAFe environments and cross-team delivery coordination.
  • Strong leadership, problem-solving, and stakeholder management skills with a delivery-focused mindset.
  • Exposure to AI-enabled engineering workflows and modern DevOps/GitOps practices is highly desirable.

Responsibilities

  • Lead and coordinate three engineering and platform teams (~15 people) responsible for internal operations, shared services, and release infrastructure across cloud and on-premise environments.
  • Own end-to-end release management, including planning, scheduling, execution, validation, rollback strategies, and continuous improvement of release processes.
  • Ensure platform reliability, operational readiness, monitoring, incident response, and support across environments and services.
  • Define and execute cost optimisation strategies, establishing baselines and continuously tracking infrastructure and operational efficiency.
  • Drive automation-first operations by embedding Infrastructure as Code (IaC), GitOps practices, and modern CI/CD pipelines.
  • Oversee operational metrics such as availability, deployment success rates, and MTTR, using data to improve performance and stability.
  • Coordinate with architecture and delivery teams to ensure scalable, standardised, and consistent platform practices.
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