Cloud Engineer

About the role

Arcticom LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services.

This position is for a Cloud Engineer, fully remote.

The position has no supervisory responsibilities and is not subject to federal Department of Transportation safety‑sensitive requirements.

Physical demands require constant mental alertness; reasonable accommodation may be made for individuals with disabilities. Essential and marginal functions may require bending, stooping, sitting, walking or standing for prolonged periods, with most time spent sitting in a comfortable position with frequent opportunity to move about.

The work is performed in an office setting with exposure to computer screens, requiring extensive use of a computer, keyboard, mouse, and multi‑line telephone system.

Additional qualifying factors include: passing a pre‑employment drug screening, acceptable background check results, obtaining and maintaining the required clearance levels, and being able to obtain access to military installations. As a condition of employment, BSNC shareholders, shareholder descendants, and shareholder spouses who meet the minimum qualifications receive hiring, promotion, training, and retention preference.

Applicants will be notified via phone or email within ten (10) business days of submittal.

Responsibilities

The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned.

• Develop architecture for Cloud environments.
• Promote DevOps engineering principles throughout the portfolio.
• Assess cloud architecture for scalability, security, resilience, and mission alignment.
• Use logic and reasoning to identify the strengths and weaknesses of alternative technical solutions, conclusions, or approaches to problems, driving data‑driven decisions.
• Evaluate the analytics from the cloud environment to make recommendations for improvements and optimization.
• Provide technical advisory to leadership, engineers, and cybersecurity SMEs.
• Ensure cloud solutions are secure, interoperable, and compliant with engineering, cybersecurity, and program requirements.
• Build out solutions that monitor performance and deliver capabilities such as data interfaces, generative AI, Large Language Models (LLMs), and workflows.
• Use of systems engineering practices such as digital twin, modeling, and simulation