Deployment Engineer (Digital Forensics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Deployment Engineer (Cloud/Infrastructure): Deploying and configuring complex digital investigation software across on-premises, cloud, and hybrid environments with an accent on automation and operational excellence. Focus on troubleshooting infrastructure issues, implementing IaC, and ensuring secure software delivery at customer sites.
Location: Based in Australia; requires up to 75% travel within the ANZ region and other APAC countries.
Company
provides an AI-powered Digital Investigation Platform that enables public safety organizations and intelligence agencies to lawfully access and analyze digital evidence.
What you will do
- Deploy, configure, and upgrade software solutions in customer environments across on-premises, cloud, and hybrid setups.
- Act as the primary technical point of contact for customers during deployment and onboarding activities.
- Troubleshoot and resolve complex issues across application, infrastructure, networking, and cloud platforms.
- Implement and maintain environments using automation, configuration management, and infrastructure-as-code (IaC).
- Develop technical documentation, including deployment guides, runbooks, and architecture diagrams.
- Perform mobile forensic activities within the company lab or at customer sites.
Requirements
- Minimum 2 years of experience in Deployment Engineering, DevOps, System Administration, or a related technical role.
- Expertise in Linux/Unix and Windows system administration.
- Strong knowledge of networking fundamentals including DNS, firewalls, VPNs, and routing.
- 2+ years of experience working with cloud-native technologies (AWS, Azure, or GCP).
- Willingness to travel up to 75% to customer locations.
- Professional fluency in English is required.
Nice to have
- Australian Government Security Vetting Agency (AGSVA) Baseline clearance.
- Experience delivering solutions in regulated or government environments.
- Proficiency in scripting languages such as Python, SQL, Bash, PowerShell, Ruby, or Go.
- Experience with Docker, Kubernetes, Terraform, and Ansible.
- Ability to train and onboard end users post-deployment.
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