×
Register Here to Apply for Jobs or Post Jobs. X

Cloud Engineer

Job in Ridgewood, Bergen County, New Jersey, 07450, USA
Listing for: Dassault Systemes
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 110800 - 130300 USD Yearly USD 110800.00 130300.00 YEAR
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.
Industrialisation of Deployments
  • Automate and industrialise deployments, updates, and regional expansions; ensure repeatable, auditable release pipelines.
Innovation & Optimisation
  • Propose and implement system improvements that boost performance, resilience, and cost‑efficiency.
  • Contribute directly to the technological evolution of the platform.
Performance, Monitoring & KPIs
  • 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.
Reliability & Resiliency
  • Identify and remediate single points of failure and security risks; ensure system resiliency.
  • Analyse and address performance and scalability challenges with durable solutions.
Knowledge Sharing & Documentation
  • Write clear technical documentation, runbooks, and operational playbooks.
  • Conduct knowledge‑transfer sessions and internal training to keep the team up‑to‑date.
Level 3 Incident Investigation & On‑Call
  • Perform deep‑dive investigations on escalations from client‑support.
  • Participate in on‑call rotations and provide timely resolutions.
Collaboration
  • Strengthen relationships with internal (development, security, product) and external (vendors, partners) teams to foster a collaborative, innovative environment.
Capacity Planning & Road‑Mapping
  • Assist in capacity planning and roadmap development for future infrastructure growth.
Compliance
  • Ensure all cloud‑engineering practices comply with internal standards and regulatory requirements (e.g., VA standards).
Minimum Qualifications
  • 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).
Preferred Qualifications
  • 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.
Operating Systems
  • Linux (CentOS / Rocky)
Scripting
  • Python3, Bash
Infrastructure as Code & Automation
  • Git, Terraform, Ansible, Salt Stack (preferred), Packer, Jenkins, Docker, Kubernetes
Virtualisation
  • QEMU, KVM, VMware ESXi
Monitoring & Observability
  • Prometheus, Grafana, Zabbix, ELK Stack
Web & Data Services
  • HAProxy, Nginx, LevelDB, MongoDB, Redis, Node.js, SQL databases
Networking
  • Strong understanding of L2/L3 concepts, physical & virtual networking, storage infrastructure
Cloud Platforms
  • Experience with any public cloud (AWS, Azure, GCP, etc.)
Inclusion Statement

In order…

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary