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Remote Capacity Engineer information

What are the key skills and qualifications needed to thrive as a Remote Capacity Engineer, and why are they important?

To thrive as a Remote Capacity Engineer, you need a solid background in systems engineering, performance analysis, and capacity planning, usually supported by a degree in computer science or a related field. Familiarity with monitoring tools like Nagios, Prometheus, or Grafana, and experience with cloud platforms such as AWS or Azure are typically required. Strong analytical thinking, effective communication, and self-motivation are crucial soft skills for collaborating remotely and addressing capacity challenges proactively. These skills ensure optimal system performance, cost efficiency, and reliable scalability for distributed environments.

How does a Remote Capacity Engineer typically collaborate with distributed teams to manage and optimize system performance?

As a Remote Capacity Engineer, you'll work closely with cross-functional teams—including DevOps, product managers, and infrastructure engineers—using collaboration tools like Slack, Jira, and video conferencing to monitor, analyze, and forecast system resource needs. Regular communication is essential to ensure all stakeholders are aware of current capacities, upcoming demands, and recommendations for scaling. You'll often participate in virtual stand-ups, review system metrics with team members, and coordinate capacity planning efforts across different time zones. This collaborative, remote environment encourages proactive problem-solving and continuous learning.

What is a Remote Capacity Engineer?

A Remote Capacity Engineer is an IT professional responsible for monitoring, analyzing, and optimizing the capacity and performance of computer systems and networks from a remote location. Their primary role is to ensure that infrastructure resources—such as servers, storage, and network bandwidth—are sufficient to meet current and future business demands. They use specialized tools to forecast usage trends, plan for scalability, and prevent system bottlenecks. By working remotely, they can support organizations with distributed systems and cloud-based environments without being physically present onsite.

What is the difference between Remote Capacity Engineer vs Network Engineer?

AspectRemote Capacity EngineerNetwork Engineer
Required CredentialsBachelor's in IT, Computer Science, or related; certifications like CCNA or Cisco certificationsBachelor's in Computer Science, Networking, or related; certifications like CCNA, CompTIA Network+
Work EnvironmentRemote, often in IT or cloud service companiesPrimarily on-site or hybrid, in networking or telecom firms
Industry UsageTech, cloud providers, data centersTelecommunications, IT infrastructure, enterprise networks
Common Search/ComparisonYesYes

The Remote Capacity Engineer focuses on analyzing and planning the capacity of cloud and IT resources remotely, ensuring optimal performance. Network Engineers design, implement, and maintain network infrastructure, often on-site. While both roles require networking certifications and involve IT infrastructure, the Capacity Engineer emphasizes capacity planning in cloud environments, whereas the Network Engineer concentrates on network setup and maintenance.

What are popular job titles related to Remote Capacity Engineer jobs in Washington? For Remote Capacity Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Capacity Engineer jobs in Washington look for? The top searched job categories for Remote Capacity Engineer jobs in Washington are:
What cities in Washington are hiring for Remote Capacity Engineer jobs? Cities in Washington with the most Remote Capacity Engineer job openings:
Remote Capacity Engineer jobs near you

Openshift / Kubernetes Engineer

Black Canyon Consulting

Bethesda, MD • On-site, Remote

$56.50 - $77.25/hr

Other

Posted 2 days ago

Job description

Overview

Black Canyon Consulting (BCC) is seeking Openshift/Kubernetes Engineer to join our systems team to support application developers and operations for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health.. This opportunity is full time at the NCBI in Bethesda, MD and/or remote work.

NCBI is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI advances science and public health by providing free access over the Internet to biomedical literature and genomic data, making it one of the 400 top most-visited sites in the world. NCBI has a diverse staff of smart, talented, and deeply technical people who collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts; and maintains ClinicalTrials.gov, a database of over 400,000 clinical studies around the world.

The Systems & DevOps team is responsible for the efficient operation of infrastructure to run NCBI's many applications.  This includes providing convenient, scalable solutions for development, deployment, and operations across teams, languages, and cloud and on-prem environments.

This is a great opportunity to work on challenging problems in a technical, scientific, and goal-oriented environment. NCBI offers flexible working hours, remote options, on- and off-site training courses, and conference attendance and tuition reimbursement.

Required Skills

NCBI has built a modern DevOps platform based on GitLab and Kubernetes, and is looking for support engineers to assist internal developers with transitioning legacy software development and deployment to the new The key requirement:

  • In-depth knowledge/experience with *building and maintaining* Red Hat OpenShift clusters. Merely "using" OpenShift is insufficient.
  • Experience with Kubernetes
  • Experience with GCP cloud services, including GKE and Anthos
  • Experience with Gitlab and especially Gitlab CI/CD
  • ArgoCD
  • Familiarity with service-mesh technologies: Istio, Linkerd, etc.
  • Provide on-call support to NCBI's internal developers and other staff.

Educational Requirements

  • BS degree in a STEM field, or equivalent experience
  • Customer-focused, team-oriented disposition
  • Good systems debugging skills
  • Comfortable with the Linux environment or UNIX CLI
  • Experience with some programming or scripting language
  • Have experience creating processes, procedures and SOP documentation 
  • General understanding of TCP/IP and related protocols 
  • Initiative to take ownership of tasks and drive them to completion
  • Comfortable dealing with users with varying levels of IT knowledge
  • Eager to learn new technologies
  • Strong communication and soft skills to interface with customers, peers and management
  • Good judgement, sense of integrity, and responsibility

Preferred Experience & Skill sets

  • Kubernetes, OpenShift, Cloud or Linux experience
  • Experience with:
    • Service Reliability Engineering in any capacity
    • Linux systems administration
    • Automated CI servers, especially TeamCity and/or GitLab
    • Automation programming/scripting in any of: bash, Ruby, Python, Go, Java, Scala, Rust, C++, Perl 
    • Automated configuration management, such as Puppet, Ansible, Chef, bcfg2, cfengine, etc.  Puppet is preferred.
    • Version control systems, especially git
    • Service Mesh technologies (e.g., linkerd, Istio)
    • Configuring or using monitoring and alerting technologies (TIGK stack, Grafana, Prometheus, OpsGenie)
    • Confluence, Jira, and Microsoft Office suite
    • GitOps tools, especially ArgoCD
    • Google Anthos
  • Understanding of:
    • Linux internals (system calls, file systems, processes, etc.)
    • Linux network configuration
    • Linux application containerization, especially Docker
    • Attached network storage technologies
    • Cloud computing environment such as AWS, GCP or Azure
    • Automated CI/CD pipelines
    • Distributed systems design principles

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