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Iot Farming Jobs (NOW HIRING)

RealmFive is building an IOT platform to share Ag data between our customers and partners. We're ... If you want to build and improve product features that empower farmers and agriculture ...

Collect and preprocess IoT-scale data from on-farm and remote monitoring equipment including: yield, farm treatments, irrigation, soils, satellite and drone imagery * Analyze agricultural data to ...

Kalera is the vertical farming technology leader, bringing AI, sensors, IoT, cloud-based computing and its own proprietary technology together with food industry veterans. This team and the ...

Kalera is the vertical farming technology leader, bringing AI, sensors, IoT, cloud-based computing and its own proprietary technology together with food industry veterans. This team and the ...

Kalera is the vertical farming technology leader, bringing AI, sensors, IoT, cloud-based computing and its own proprietary technology together with food industry veterans. This team and the ...

Kalera is the vertical farming technology leader, bringing AI, sensors, IoT, cloud-based computing and its own proprietary technology together with food industry veterans. This team and the ...

Java / J2EE Developer

Saint Louis, MO · On-site

$49.50 - $64.25/hr

... IoT. You would work with a team of talented individuals who share a strong passion for problem ... A healthy change of pace from your average "cube farm." Our staff is our company's pride, and we do ...

... farms, focusing on processing sensor data and enhancing the understanding of the underwater ... Aquabyte builds machine learning camera IOT software to directly solve the world's food ...

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Iot Farming information

See salary details

$40K

$50.8K

$59K

How much do iot farming jobs pay per year?

As of Jun 9, 2026, the average yearly pay for iot farming in the United States is $50,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $54,500.00 per year, depending on experience, location, and employer.

What is the difference between Iot Farming vs Precision Agriculture Specialist?

AspectIot FarmingPrecision Agriculture Specialist
Required CredentialsTechnical certifications in IoT, agriculture technologyDegree in agriculture, environmental science, or related fields
Work EnvironmentFieldwork combined with technology setup and monitoringOffice-based analysis with field visits
Industry UsageImplementing IoT devices for farm managementOptimizing crop yields using data analytics

While both roles focus on improving farming efficiency, Iot Farming primarily involves deploying IoT devices and technology on farms, whereas Precision Agriculture Specialists analyze data to optimize farming practices. Iot Farming emphasizes technology installation and monitoring, while Precision Agriculture focuses on data-driven decision-making to enhance productivity.

What are the key skills and qualifications needed to thrive as an IoT Farming Specialist, and why are they important?

To thrive as an IoT Farming Specialist, you need expertise in agricultural practices, data analysis, and IoT technologies, typically supported by a degree in agriculture, engineering, or computer science. Familiarity with IoT platforms, sensor networks, cloud computing, and related certifications like IoT Fundamentals is common in this role. Strong problem-solving, communication, and adaptability help professionals translate technical data into actionable farming decisions. These skills are essential for optimizing crop yields, improving resource efficiency, and driving innovation in modern agriculture.

What are some common challenges faced by IoT Farming professionals when implementing new technologies on farms?

Professionals in IoT Farming often encounter challenges such as integrating new sensors and devices with existing farm equipment, ensuring reliable connectivity in rural areas, and training farm staff to use and maintain smart technologies. Data management and security can also be complex, as large volumes of sensor data need to be processed and protected. Collaborating closely with farmers, IT teams, and agronomists is essential to address these challenges and ensure smooth adoption of IoT solutions.

What is IoT farming?

IoT farming, also known as smart farming or precision agriculture, involves the use of Internet of Things (IoT) technologies to monitor, automate, and optimize agricultural operations. Devices such as sensors, drones, and connected machinery collect real-time data on soil conditions, crop health, weather, and equipment performance. This data helps farmers make more informed decisions, increase yields, reduce resource use, and improve overall farm efficiency. IoT farming is transforming traditional agriculture by making it more efficient and sustainable.
More about Iot Farming jobs
What cities are hiring for Iot Farming jobs? Cities with the most Iot Farming job openings:
What states have the most Iot Farming jobs? States with the most job openings for Iot Farming jobs include:
Infographic showing various Iot Farming job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $50,833 per year, or $24.4 per hour.

Senior Network Automation Engineer - 5G SA Core IoT

Reailize

Remote

$106K - $139K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join Us
Join Reailize - where innovation meets impact. We're on a mission to help global enterprises work smarter, faster, and more efficiently at the cutting edge of AI, data, and cloud. By combining deep expertise, advanced engineering, and patented software, we transform complexity into opportunity. Here, curiosity, collaboration, and bold ideas aren't just welcomed - they're celebrated.
What makes us different?
We are a private & global group of companies with 20+ years of proven track record, supporting leading organizations in Telecom, Security, and Real Estate across North America, Europe, the Middle East, and Latin America.
About the role
We are onboarding a new 5G Standalone (SA) Core from lab into production to serve our IoT, consumer, and connected-car traffic. This role owns the engineering work that gets it there: design input, test plan execution, integration with surrounding OSS/BSS and provisioning systems, and the automation that makes all of the above repeatable.
You will be hands-on. You will write Python. You will validate that provisioning and data services work end-to-end before customer traffic touches the new core.
This is a senior individual-contributor role. You will not manage people, but you will be expected to set technical direction, mentor, and represent the team in cross-functional design reviews.
Please note that this is a remote opportunity for applicants based in the US.
What you'll do
  • Contribute to design reviews for the 5G SA Core lab-to-production transition, with a focus on data-plane and provisioning correctness.
  • Build and execute integration test plans against core network functions (AMF, SMF, UPF, UDM/UDR, AUSF, NRF, PCF, NSSF) and the surrounding ecosystem (HSS migration paths, OSS/BSS, DNS, charging, policy).
  • Validate IoT and consumer provisioning flows end-to-end: SIM/eSIM/eUICC onboarding, subscriber activation, profile changes, network attach, PDU session establishment, data session continuity.
  • Build automation - primarily in Python - for repeatable testing, configuration, and post-deployment validation. Reduce manual toil in the lab→prod handoff.
  • Partner with vendor engineers, internal NetOps, security, and product teams to triage and resolve integration defects.
  • Troubleshoot from the device through the RAN to the core: PCAPs, NF logs, signaling traces (NGAP, N1/N2, N4, HTTP/2 SBI), KPIs.
  • Document runbooks, test artifacts, and automation so the work is auditable and the team can run without you.

Required qualifications
  • 7+ years of network engineering experience, with at least 2 years in 4G/5G mobile core (EPC and/or 5GC).
  • Working knowledge of 5G SA architecture and the major control- and user-plane NFs; comfortable reading 3GPP-style call flows.
  • Hands-on experience integrating or testing mobile core deployments - not just operating them - including lab-to-production transitions.
  • Production-grade Python: you write code others maintain, not just scripts. Familiarity with REST/gRPC, async I/O, and at least one test framework (pytest or equivalent).
  • Experience with IoT cellular networks (NB-IoT, LTE-M, or 5G IoT slices) and the provisioning side of IoT (eSIM/eUICC, IoT connectivity platforms, subscriber lifecycle).
  • Solid troubleshooting fundamentals: packet captures, signaling analysis, log correlation across NFs.

Preferred qualifications
  • Experience supporting AT&T's US IoT network - its services, provisioning stack, and customer-facing platforms.
  • Familiarity with AT&T internal automation and test tooling.
  • Experience with connected-car / automotive cellular workloads (eUICC remote provisioning, persistent connectivity, mobility patterns).
  • Consumer wireless network experience (subscriber scale, mass provisioning, MVNO interfaces).
  • Automation tooling beyond Python: Ansible, Terraform, CI/CD pipelines for network functions, NETCONF/YANG, Robot Framework or similar for network test automation.
  • Experience with cloud-native NF deployments (Kubernetes, Helm, service mesh).
  • Test tooling experience: traffic generators, signaling simulators, network emulation.

Interview Integrity:
During the interview process, we're evaluating your individual problem-solving skills, creativity, and approach to challenges. While AI tools like ChatGPT, Claude, and Cursor are part of your daily toolkit once you join B-Yond, all interviews, assessments, and take-home assignments must be completed independently.
You may not use AI tools, third-party services, coaching platforms, or content-farming services during any part of the interview process unless we explicitly permit it. We will clearly communicate when AI tools are allowed for specific assessments.
Any indication of third-party assistance or AI-generated responses will result in immediate disqualification.