Cloud Engineer

Ridgewood, NJ, US • Posted 12 hours ago • Updated 12 hours ago
Full Time
On-site
USD $110,800.00 - 130,300.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • PaaS
  • IaaS
  • Supervision
  • Process Automation
  • Innovation
  • Boost
  • Performance Monitoring
  • KPI
  • SLA
  • Stacks Blockchain
  • Scalability
  • Knowledge Sharing
  • Documentation
  • Technical Writing
  • Knowledge Transfer
  • Training
  • Customer Support
  • Collaboration
  • Capacity Management
  • Roadmaps
  • Computer Science
  • DevOps
  • Reliability Engineering
  • Unix
  • Provisioning
  • Management
  • Data Security
  • Disaster Recovery
  • Regulatory Compliance
  • Operating Systems
  • Linux
  • CentOS
  • Scripting
  • Python
  • Bash
  • Git
  • Terraform
  • Ansible
  • Jenkins
  • Docker
  • Kubernetes
  • Virtualization
  • QEMU
  • Kernel-based Virtual Machine
  • VMware ESXi
  • Grafana
  • Zabbix
  • HAProxy
  • Nginx
  • MongoDB
  • Redis
  • Node.js
  • SQL
  • Database
  • Data Link Layer
  • Network Layer
  • Computer Networking
  • Storage
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Military
  • DS
  • DirectShow
  • Law

Summary

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 InfrastructureasaService (IaaS) layer of the Outscale cloud.

You will work at the intersection of our PlatformasaService (PaaS) and the underlying physical infrastructure, driving automation, expanding services to new regions, and ensuring the platform is secure, resilient, highperforming, and compliant.

You will partner with infrastructure development, automation, and operations teams to implement cloud best practices and deliver productionready, compliant cloud solutions.

Key Responsibilities AREA WHAT YOU'LL DO

Automation & Operations

Deploy, manage, maintain, and operate Outscale cloud using bestpractice patterns for scalability, performance, and security.

Build, implement, and maintain InfrastructureasCode (IaC) pipelines with Terraform, Ansible/SaltStack, 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 costefficiency.

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 knowledgetransfer sessions and internal training to keep the team uptodate.

Level3 Incident Investigation & OnCall

Perform deepdive investigations on escalations from clientsupport.

Participate in oncall 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 & RoadMapping

Assist in capacity planning and roadmap development for future infrastructure growth.

Compliance

Ensure all cloudengineering practices comply with internal standards and regulatory requirements (e.g., VA standards).

Minimum Qualifications
  • ship is a must.
  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • 3-8years of experience in Cloud Engineering, DevOps, or Site Reliability Engineering.
  • Proven expertise in Unix/Linux environments with strong scripting/automation skills (Bash, Python).
  • Expertlevel proficiency with SaltStack or Ansible (SaltStack 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, disasterrecovery strategies, and compliance frameworks.
  • Working knowledge of Kubernetes architecture and operations.
  • Strong troubleshooting mindset with an automationfirst approach.

Minimum Qualifications
  • ship is a must.
  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • 3-8years of experience in Cloud Engineering, DevOps, or Site Reliability Engineering.
  • Proven expertise in Unix/Linux environments with strong scripting/automation skills (Bash, Python).
  • Expertlevel proficiency with SaltStack or Ansible (SaltStack 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, disasterrecovery strategies, and compliance frameworks.
  • Working knowledge of Kubernetes architecture and operations.
  • Strong troubleshooting mindset with an automationfirst approach.

CATEGORY

EXAMPLES

Operating Systems

Linux (CentOS / Rocky)

Scripting

Python3, Bash

IaC & Automation

Git, Terraform, Ansible, SaltStack (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, Google Cloud Platform, etc.)

Inclusion statement

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.

Compensation & Benefits

Dassault Systmes offers an excellent salary with potential for bonus, commensurate with experience. Benefits include a choice of plans providing comprehensive coverage for medical, dental, vision care for employee & dependents as well as employee life, short & long term disability, tuition reimbursement, immediate 401K enrollment, 401K match (50 cents on the dollar, up to the first 8% of your eligible compensation that you contribute based on match eligibility criteria), flexible time off policy, and 10 paid holidays.

Salary Pay Transparency

Compensation for the role will be commensurate with experience. The total expected compensation range will be between $110800 and $130300, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX172115
  • Position Id: 52e409f8756c38efbab484acd34631c0
  • Posted 12 hours ago
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