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Cloud Engineer
Job in
Ridgewood, Bergen County, New Jersey, 07450, USA
Listed on 2026-07-04
Listing for:
PowerToFly
Full Time
position Listed on 2026-07-04
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer, IT Infrastructure
Job Description & How to Apply Below
About the Role
Are you ready to invent the future of cloud infrastructure? Join us to shape a new era in cloud computing and build a career that matches your ambition. We are looking for Cloud Engineers to design, deploy, and operate the Infrastructure as a Service (IaaS) layer of the Outscale cloud.
You will work at the intersection of our Platform as a Service (PaaS) and the underlying physical infrastructure, driving automation, expanding services to new regions, and ensuring the platform is secure, resilient, high-performing, and compliant.
You will partner with infrastructure development, automation, and operations teams to implement cloud best practices and deliver production-ready, compliant cloud solutions.
Key Responsibilities Automation & Operations- Deploy, manage, maintain, and operate Outscale cloud using best‑practice patterns for scalability, performance, and security.
- Build, implement, and maintain Infrastructure as Code (IaC) pipelines with Terraform, Ansible/Salt Stack, Packer, Jenkins, etc.
- Own the full lifecycle of our IaaS environment, from initial provisioning to continuous supervision, placing a strong emphasis on process automation.
- Automate and industrialise deployments, updates, and regional expansions; ensure repeatable, auditable release pipelines.
- Propose and implement system improvements that boost performance, resilience, and cost‑efficiency.
- Contribute directly to the technological evolution of the platform.
- Define, implement, and refine critical KPIs (SLI, SLO, SLA).
- Build and maintain observability stacks (Prometheus, Grafana, Zabbix, ELK) to proactively detect and resolve issues.
- Monitor, troubleshoot, and optimise system performance, reliability, and scalability.
- Identify and remediate single points of failure and security risks; ensure system resiliency.
- Analyse and address performance and scalability challenges with durable solutions.
- Write clear technical documentation, runbooks, and operational playbooks.
- Conduct knowledge‑transfer sessions and internal training to keep the team up‑to‑date.
- Perform deep‑dive investigations on escalations from client support.
- Participate in on‑call rotations and provide timely resolutions.
- Strengthen relationships with internal (development, security, product) and external (vendors, partners) teams to foster a collaborative, innovative environment.
- Assist in capacity planning and roadmap development for future infrastructure growth.
- Ensure all cloud‑engineering practices comply with internal standards and regulatory requirements (e.g., VA standards).
- Applicants must be authorized to work in the US.
- Bachelor’s degree in Engineering, Computer Science, or a related field.
- 3–8 years of experience in Cloud Engineering, Dev Ops, or Site Reliability Engineering.
- Proven expertise in Unix/Linux environments with strong scripting/automation skills (Bash, Python).
- Expert‑level proficiency with Salt Stack or Ansible (Salt Stack preferred).
- Deep knowledge of networking fundamentals, physical and virtual system & storage infrastructure.
- Hands‑on experience provisioning, orchestrating, and managing virtual resources.
- Familiarity with data protection, disaster‑recovery strategies, and compliance frameworks.
- Working knowledge of Kubernetes architecture and operations.
- Strong troubleshooting mindset with an automation‑first approach.
- Linux (CentOS / Rocky)
- Python3, Bash
- Git, Terraform, Ansible, Salt Stack (preferred), Packer, Jenkins, Docker, Kubernetes
- QEMU, KVM, VMware ESXi
- Prometheus, Grafana, Zabbix, ELK Stack
- HAProxy, Nginx, LevelDB, MongoDB, Redis, Node.js, SQL databases
- Strong understanding of L2/L3 concepts, physical & virtual networking, storage infrastructure
- Experience with any public cloud (AWS, Azure, GCP, etc.)
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