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Edge Computing Jobs (NOW HIRING)

Edge Computing

Junior Java developer

Washington, DC · On-site

Whether you need one top notch technical specialist or a team with diverse skill sets to extend your own internal resources, Edge Computing can meet your needs quickly and affordably. • Splunk • ...

Edge Computing

Java developer

Atlanta, GA · On-site

$49 - $63.50/hr

Whether you need one top notch technical specialist or a team with diverse skill sets to extend your own internal resources, Edge Computing can meet your needs quickly and affordably. Experience in ...

Edge Computing

Devops Engineer

Highland Park, IL · On-site

$53.75 - $73.75/hr

Whether you need one top notch technical specialist or a team with diverse skill sets to extend your own internal resources, Edge Computing can meet your needs quickly and affordably. * 2+ years of ...

Edge Computing

Java developer

Atlanta, GA

$49 - $63.50/hr

Whether you need one top notch technical specialist or a team with diverse skill sets to extend your own internal resources, Edge Computing can meet your needs quickly and affordably. Experience in ...

Edge Computing

Java developer

New York, NY · On-site

$55.75 - $72.25/hr

Whether you need one top notch technical specialist or a team with diverse skill sets to extend your own internal resources, Edge Computing can meet your needs quickly and affordably. • Proficient ...

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How much do edge computing jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for edge computing in the United States is $25.56, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $30.05 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Edge computing jobs such as network engineers, cybersecurity specialists, and systems architects are likely to persist as they require complex problem-solving, infrastructure management, and security expertise that are difficult for AI to fully automate. These roles involve designing, maintaining, and securing distributed systems, often requiring certifications and hands-on experience. Skills in cloud platforms, programming, and real-time data analysis will remain valuable in this field.

Does edge computing have a future?

Edge computing is a growing field with increasing adoption across industries such as manufacturing, healthcare, and IoT, creating demand for professionals skilled in network architecture, security, and cloud integration. As data processing needs expand and latency requirements grow, job opportunities in this area are expected to increase steadily in the coming years.

Does Tesla use edge computing?

Tesla employs edge computing in its vehicles to process data locally for features like Autopilot and real-time diagnostics, reducing reliance on cloud servers. This approach enhances response times and system reliability, which are critical for autonomous driving and vehicle safety systems.

What is the highest paying computing job?

In the field of edge computing, senior roles such as solutions architect, cloud engineer, or systems architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in distributed systems, networking, and cloud platforms, along with relevant certifications like AWS or Cisco. Salary levels depend on experience, location, and company size.

What are the key skills and qualifications needed to thrive in the Edge Computing position, and why are they important?

To excel in Edge Computing, you need a solid background in distributed systems, network engineering, and real-time data processing, typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools and platforms such as Docker, Kubernetes, IoT frameworks, and edge-specific cloud solutions, along with relevant certifications like CompTIA IoT+ or Cisco certifications, is highly advantageous. Strong problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating across technical and business teams. These skills ensure effective design, deployment, and maintenance of decentralized computing solutions that drive innovation and performance in various industries.

What is an Edge Computing job?

An Edge Computing job involves designing, deploying, and managing computing resources closer to the data source to reduce latency and improve real-time data processing. Professionals in this field work with distributed computing, networking, and security to ensure efficient and reliable performance of edge devices. Roles often include Edge Engineer, Edge Architect, or IoT Specialist, requiring expertise in cloud-native technologies, AI, and edge infrastructure. These jobs are critical in industries like healthcare, manufacturing, and autonomous systems where low-latency decision-making is essential.

What are typical daily responsibilities of an Edge Computing professional?

As an Edge Computing professional, your daily tasks often include designing and deploying edge infrastructure, optimizing real-time data processing pipelines, and monitoring system performance to ensure low latency operations. You may coordinate with software developers, hardware engineers, and security specialists to integrate edge devices with cloud services. Troubleshooting network and latency issues, updating firmware, and implementing security protocols are also regular parts of the role. This multidisciplinary environment allows you to see immediate impacts from your work while constantly collaborating with cross-functional teams to solve complex problems.

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Edge Computing jobs near you

IoT Engineer AWS Edge Computing

Texas State Library and Archives Commision

Cary, NC • On-site

Full-time

Re-posted 15 days ago

Job description

  • IoT Engineer AWS Edge Computing
  • We are looking for a skilled IoT Engineer with strong handson experience in AWS IoT services including AWS SiteWise AWS Greengrass and AWS IoT Core
  • Key Responsibilities
  • Design and implement scalable IoT data pipelines to ingest process and store telemetry data from edge devices
  • Work with edge computing frameworks Greengrass to enable local data processing and device communication
  • Acquire and integrate telematics data from diverse IoT edge devices
  • Process transform and persist data into appropriate storage solutions eg S3 Timestream DynamoDB
  • Ensure reliable secure and efficient data flow from edge to cloud

Required Skills Expertise
  • Strong handson experience with
  • AWS SiteWise
  • AWS Greengrass
  • AWS IoT Core
  • Good understanding of DCIM Data Center Infrastructure Management systems
  • Experience working with RTACs RealTime Automation Controllers and industrial communication protocols
  • Solid knowledge of IoT architecture telemetry ingestion and edgetocloud integration
  • Familiarity with GenAI and Large Language Models LLMs and their practical applications in IoTanalytics

Nice to Have
  • Experience with industrial IoT IIoT use cases
  • Exposure to predictive maintenance anomaly detection or smart monitoring solutions
  • Knowledge of security best practices in IoT environments

Skills
Mandatory Skills : AWS IOT, AWS Kinesis, AWS Lambda

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