🚀 Key Responsibilities

Lead and develop a team of DevOps engineers, including hiring, performance management, and career development
Define and own the team's technical roadmap for infrastructure, CI/CD, and platform tooling, aligned to broader organizational goals
Partner with engineering leadership across software, firmware, and adjacent teams to streamline delivery and improve release processes
Establish and govern CI/CD standards using GitHub Enterprise, ensuring consistent and scalable build, test, and deployment practices across teams
Lead cloud infrastructure strategy and architecture (AWS, Azure, GCP), with accountability for architectural decisions and cloud spend optimization across the organization
Drive governance of artifact management and dependency policies through JFrog Artifactory across multiple engineering teams
Build and own of monitoring and alerting solutions using Datadog
Set standards for configuration management, automation, and infrastructure as code (Terraform, Ansible), ensuring the team delivers with consistency and quality
Manage vendor relationships and contribute to budget planning for infrastructure and tooling
Monitor industry trends and emerging technologies to shape platform strategy and inform long-term investments

🧠 What We’re Looking For - Experience with RFID is highly preferred

Technical fluency in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes), sufficient to make sound architectural trade-off decisions
Experience with scripting languages (e.g., Python, Bash) and infrastructure as code tools (e.g., Terraform, CloudFormation)
Broad knowledge of CI/CD platforms, artifact management (Artifactory), monitoring and logging tools (Datadog, Prometheus, Grafana), and configuration management (Ansible, Chef, Puppet)
Strong communication skills with the ability to translate technical concepts for non-technical stakeholders and influence decisions at the leadership level
Demonstrated ability to manage competing priorities, drive clarity in ambiguous situations, and deliver results in a dynamic environment

📌 Additional Requirements

DB

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