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Remote Observability Jobs in Aiken, SC (NOW HIRING)

Remote Observability information

See Aiken, SC salary details

$14

$18

$20

How much do remote observability jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote observability in Aiken, SC is $18.30, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $19.42 per hour, depending on experience, location, and employer.

What is remote observability?

Remote observability refers to the ability to monitor, measure, and understand the state and performance of systems, applications, or infrastructure from a distance, typically using specialized tools and platforms. It is crucial for organizations that operate distributed or cloud-based environments, as it allows teams to detect issues, analyze metrics, and ensure reliability without needing physical access to the hardware. Remote observability often involves collecting logs, metrics, traces, and other telemetry data to provide a comprehensive view of system health and performance.

What are the key skills and qualifications needed to thrive as a remote observability engineer?

To thrive as a Remote Observability Engineer, you need expertise in monitoring, logging, and tracing, typically supported by experience in systems administration or DevOps and a relevant technical degree. Familiarity with observability tools like Prometheus, Grafana, Datadog, ELK Stack, and cloud monitoring platforms, as well as certifications such as AWS Certified Cloud Practitioner or Google Professional Cloud DevOps Engineer, is highly valued. Strong analytical thinking, problem-solving, and effective communication are vital soft skills for diagnosing issues and collaborating with distributed teams. These skills and qualifications ensure reliable system performance, rapid incident response, and seamless user experiences in complex, cloud-based environments.

What are some common challenges faced by professionals in a remote observability role, and how can they be addressed?

Professionals in Remote Observability often face challenges such as monitoring complex, distributed systems, ensuring reliable data collection, and quickly identifying the root causes of issues without physical access to infrastructure. To address these challenges, it's essential to implement robust monitoring tools, establish clear alerting thresholds, and maintain strong communication with development and operations teams. Regular knowledge-sharing sessions and continuous learning about new observability platforms can also help remote teams stay effective and proactive.

What is the difference between Remote Observability vs Remote Monitoring?

AspectRemote ObservabilityRemote Monitoring
FocusComprehensive system insights, including logs, metrics, and tracesTracking specific system metrics and alerts
ToolsOpenTelemetry, Grafana, JaegerNagios, Zabbix, Datadog
Work EnvironmentDevOps, SRE teams managing complex distributed systemsIT operations teams overseeing system health
CredentialsKnowledge of cloud platforms, scripting, and monitoring toolsBasic networking, system administration skills

Remote Observability provides a holistic view of system health through logs, metrics, and traces, enabling proactive troubleshooting. Remote Monitoring focuses on tracking specific metrics and alerts to detect issues. While both roles involve system oversight, observability offers deeper insights for complex environments, whereas monitoring emphasizes real-time alerts for system stability.

What cities near Aiken, SC are hiring for Remote Observability jobs?

Cities near Aiken, SC with the most Remote Observability job openings:

Infographic showing various Remote Observability job openings in Aiken, SC as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $38,072 per year, or $18.3 per hour.

Connected Vehicle Platform Engineer

Textron

Augusta, GA • Remote

Full-time

Posted 10 days ago


Textron rating

8.5

Company rating: 8.5 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

27th of 72 rated aerospace companies


Job description

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets products under several different brands. Its vehicles are found in environments ranging from golf courses to factories, airports to planned communities, and theme parks to hunting preserves.

Responsibilities:

  • Own the cloud and IoT backbone of the vehicle's autonomous system, ensuring it is scalable, cost-efficient, and production ready.
  • Design reliable edge-to-cloud data architectures supporting autonomous system development and fleet operations.
  • Build data pipelines for Kinesis, S3, Lambda for telemetry ingestion.
  • Deploy and manage ML infrastructure: SageMaker pipelines, model registry, retraining workflows.
  • Implement CI/CD and infrastructure as code (Terraform). Enable reliable data flow from vehicle to cloud to training pipeline to OTA deployment.
  • Develop fleet-management tools supporting remote diagnostics, telemetry, health monitoring, and fleet analytics.
  • Establish data governance, retention, and security policies for connected vehicle systems.
  • Support implementation of cybersecurity controls for connected vehicle and OTA infrastructure.
  • Ensure ML training and deployment pipelines operate efficiently and at scale.
  • Deploy OTA updates securely and reliably to vehicles and monitor system health, logging, and observability.
  • Education: Bachelor's degree in Software or Computer Engineering, Information Technology, or a related field required.
  • Years of Experience: 2 years of relevant experience required.
  • Software Knowledge: Python, C or similar programming languages required.

Additional Requirements:

  • Required Skills: Strong understanding of real-time data pipelines and distributed systems. Experience designing scalable, secure cloud infrastructure. Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform). Strong debugging and system reliability mindset.

  • Preferred Skills: Experience with autonomous/connected vehicle development. MQTT and IoT-based communication systems. Experience with AWS cloud architecture (IoT Greengrass, IoT Core, S3, Kinesis, Lambda, SageMaker). MLOps pipelines (model training, deployment, monitoring). Containerization (Docker, Kubernetes/EKS). Data engineering workflows (ETL pipelines). Python or Node based Backend API Frameworks.

Travel Requirements:

  • ~10-15% travel as required to support fleet deployments, vehicle connectivity infrastructure, telemetry systems, cloud integration validation, and customer rollouts. Valid driver's license required.

Open to considering remote work for this opportunity. Employees who are working in remote roles will work primarily offsite (from home). 


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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923