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Remote Rf Optimization Engineer Jobs in Madison, AL

Cloud Solutions Engineer

Huntsville, AL · On-site +1

$55 - $73.50/hr

This position can be performed remote from anywhere, but may require up to 15% travel. As a skilled ... You will work closely with cross-functional teams to ensure seamless integration and optimal ...

... aircraft systems, RF links, payloads, and ground control stations * Coordinate with engineers ... FAA Part 107 Remote Pilot Certificate * Experience with ArduPilot ecosystems, Mission Planner, or ...

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Software Architect for ...

Remote *Dependent upon qualifications Summit 7 is here to rise above the ordinary. The work we do ... We are seeking a skilled and experienced engineering lead to join our team and play a critical role ...

ServiceNow Architect

AL · On-site +1

$140K/yr

Remote *Dependent upon qualifications Summit 7 is here to rise above the ordinary. The work we do ... We are seeking a skilled and experienced engineering lead to join our team and play a critical role ...

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Remote Rf Optimization Engineer information

See Madison, AL salary details

$33.2K

$105.4K

$164K

How much do remote rf optimization engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote rf optimization engineer in Madison, AL is $105,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $124,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What is a Remote RF Optimization Engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

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

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by Remote RF Optimization Engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.
What are popular job titles related to Remote Rf Optimization Engineer jobs in Madison, AL? For Remote Rf Optimization Engineer jobs in Madison, AL, the most frequently searched job titles are:
What job categories do people searching Remote Rf Optimization Engineer jobs in Madison, AL look for? The top searched job categories for Remote Rf Optimization Engineer jobs in Madison, AL are:

Cloud Solutions Engineer

QBE LLC (Federal)

Huntsville, AL • On-site, Remote

$55 - $73.50/hr

Other

Posted 11 days ago


Job description

Description

This position requires an ACTIVE security clearance.

This position can be performed remote from anywhere, but may require up to 15% travel.


As a skilled and dynamic Cloud Solutions Engineer you will be responsible for designing, developing, and implementing cloud-based solutions in support of the U.S. Army's energy and water use metering program. The total solution is considered a system-of-systems with developed applications integrating with the Army enterprise cloud and data environment. The solutions you develop will enable scalable, secure, and reliable operations. This role bridges the gap between software development and infrastructure, with a strong emphasis on architecting cloud-native applications, integrating services, and ensuring performance across multi-cloud and hybrid environments. You will work closely with cross-functional teams to ensure seamless integration and optimal performance.


KEY RESPONSIBILITIES:

  • Design, build, and maintain cloud-native applications and services on platforms such as AWS, Azure, or Google Cloud.
  • Configure and optimize infrastructure-as-code (IaC) using tools like Terraform, CloudFormation, or ARM templates.
  • Collaborate with software engineers, DevOps, and security teams to develop cloud solutions that meet business and compliance requirements.
  • Integrate applications with cloud services (databases, messaging, storage, APIs, identity).
  • Automate deployment and scaling processes through CI/CD pipelines and container orchestration (Kubernetes, ECS, AKS, GKE).
  • Monitor and troubleshoot cloud workloads, ensuring high availability, resilience, and cost efficiency.
  • Stay current with emerging cloud technologies, best practices, and industry standards.

#qf

#qg

Requirements

REQUIRED QUALIFICATIONS:

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
  • Minimum of 3-7 years of relevant position-specific experience.
  • Experience with cloud-based technologies such as AWS, Azure, GCP.
  • Experience with integrating into the cloud, container orchestration platforms such as Kubernetes, OpenShift, Docker Swarm, or similar.
  • Familiarity with one or more modern scripting or programming languages.
  • Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Datadog).
  • Strong problem-solving and collaboration skills.
  • Active Certifications in at least one of the following: AWS Certified Solutions Architect, Azure Solutions Architect Expert Professional, OR Google Cloud Certified Professional Cloud Architect
  • Active DoD 8570 Level II certification such as CompTIA Security+, Certified Information Systems Security Professional (CISSP), or similar (e.g., Certified Cloud Security Professional (CCSP))
  • Ability to work independently and in an agile, collaborative team environment.
  • Active US Government Clearance at Secret level or higher.
  • Effective written and verbal communications skills for collaboration with both customers and fellow team members.
  • Ability to sit for extended periods of time and regularly lift at least 25 pounds.
  • Ability to commute to the designated onsite work location as required.

DESIRED ADDITIONAL QUALIFICATIONS:

  • Advanced degree in Computer Science, Engineering, or related field
  • Experience with hybrid or multi-cloud architectures.
  • Background in API design and integration.
  • Knowledge of DevSecOps practices.
  • Experience supporting DoD programs
  • Experience with Risk Management Framework (RMF)
  • Experience with Zero-Trust Architecture
  • Expertise in serverless computing, container orchestration, infrastructure as code (Terraform, CloudFormation), or specific cloud-native services
  • Government cloud security and compliance training FedRAMP
  • NIST cybersecurity frameworks, and other government security and compliance standards
  • Certified Kubernetes Administrator (CKA) OR Certified Kubernetes Application Developer (CKAD)
  • Active Linux certifications (e.g., LPIC, RHCSA)

QBE is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender, gender-identity and/or expression, age, disability, Veteran status, genetic information, pregnancy (including childbirth, lactation, or other related medical conditions), marital-status, neurodivergence, ethnicity, ancestry, caste, military/uniformed service-member status, or any other characteristic protected by applicable federal, state, local, or international law.