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Cloud Engineer F​/H

Job in Ridgewood, Bergen County, New Jersey, 07450, USA
Listing for: Dassault Systèmes
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 110000 - 130000 USD Yearly USD 110000.00 130000.00 YEAR
Job Description & How to Apply Below

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 Infrastructureasa Service (IaaS) layer of the Outscale cloud.

You will work at the intersection of our Platformasa 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 AREA WHAT YOU'LL DO 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.
  • 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 uptodate.
  • Perform deepdive investigations on escalations from client support.
  • Participate in oncall rotations and provide timely resolutions.
  • 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
  • This position requires U.S. citizenship or valid U.S. work authorization.
  • Additionally, the selected candidate must be able to obtain and maintain a U.S. government security clearance as a condition of employment.
  • Bachelor's degree in Engineering, Computer Science, or a related field.

3 to 8 years of experience in Linux system administration and infrastructure virtualization.

Good working knowledge of core AWS infrastructure services with strong scripting/automation skills using Bash and 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.
  • Handson 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.
CATEGORYEXAMPLESOperating Systems Scripting

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