IIoT Solutions Engineer

Bright Vision Technologies

Maple Grove (MN)

Remote

USD 100,000 - 150,000

Full time

4 days ago
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Job summary

Bright Vision Technologies is seeking an experienced IIoT Solutions Engineer to design and build connected, data-driven industrial systems spanning the factory floor to enterprise cloud platforms.

You will architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards, while mentoring junior engineers and ensuring compliance with cybersecurity standards.

Qualifications

  • Bachelor’s degree in a technical discipline.
  • 5+ years in IIoT or industrial software engineering.
  • Strong programming skills: Python, C++, or Go.
  • Hands-on with industrial protocols: OPC UA, Modbus, MQTT, Sparkplug B.
  • Experience with cloud IoT platforms (AWS, Azure, GCP).
  • Edge runtimes experience (Greengrass, IoT Edge).
  • OT/IT integration patterns understanding.
  • Real-time analytics and streaming familiarity.
  • Solid troubleshooting and documentation skills.

Responsibilities

  • Architect end-to-end IIoT solutions across edge, gateway, and cloud.
  • Design data pipelines from PLCs, SCADA, and sensors (OPC UA, Modbus, MQTT).
  • Build edge apps using Greengrass, IoT Edge, or similar.
  • Ensure secure connectivity with mTLS and zero-trust.
  • Develop cloud ingestion pipelines (AWS IoT Core, Azure IoT Hub, Kafka).
  • Create real-time analytics, anomaly detection, and predictive maintenance models.
  • Build dashboards and alerts for plant managers.
  • Collaborate with OT, process engineering, and reliability teams.

Skills

Python
C++
Go
OPC UA
Modbus
MQTT
Sparkplug B
AWS IoT Core
Azure IoT Edge
Greengrass
OT/IT integration
Real-time analytics
Troubleshooting
Documentation
Mentoring

Education

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline

Tools

AWS IoT Core
Azure IoT Hub
Kafka
AWS IoT Greengrass
Azure IoT Edge

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

As we continue to grow, we’re looking for a skilled IIoT Solutions Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential

Job Title: IIoT Solutions Engineer

Location: 100% Remote (Continental United States)

Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)

Salary: $100K - $150K

Experience: 5+ years

Employment Terms & Visa Policy

This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.

This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.

We do not engage in C2C, 1099, or third-party arrangements for this role.

BUT STRICTLY NO C2C/1099. All our roles are W2.

Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.

No new H1B sponsorship is available for this role.

However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.

For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.

Job Summary

We are seeking an experienced IIoT Solutions Engineer to design and build connected, data-driven industrial systems spanning the factory floor to enterprise cloud platforms. In this role you will architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards. The ideal candidate will combine strong software engineering skills with practical experience in industrial protocols, edge computing, and cloud IoT platforms. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Key Responsibilities
  • Architect end-to-end IIoT solutions spanning edge devices, gateways, connectivity, and cloud platforms.
  • Design data acquisition pipelines from PLCs, SCADA, and sensors using protocols such as OPC UA, Modbus, MQTT, and Sparkplug B.
  • Build edge computing applications using AWS IoT Greengrass, Azure IoT Edge, or similar platforms.
  • Implement secure connectivity using mTLS, certificate management, and zero-trust patterns.
  • Build cloud ingestion and processing pipelines using AWS IoT Core, Azure IoT Hub, Kafka, or similar.
  • Develop real-time analytics, anomaly detection, and predictive maintenance models that turn raw telemetry from industrial assets into actionable signals for operators and reliability engineers.
  • Build operational dashboards and alerts for plant managers and operators.
  • Integrate IIoT data streams with MES, ERP, CMMS, and historian systems, designing reliable bidirectional flows that maintain consistency between operational technology and enterprise systems of record.
  • Implement strong device management, including provisioning, OTA updates, and certificate rotation.
  • Collaborate closely with OT, process engineering, and reliability teams, gathering requirements, aligning on technical approach, and ensuring that delivered solutions meet both functional needs and broader engineering and operational standards.
  • Ensure compliance with relevant industrial cybersecurity standards (IEC 62443, NIST).
  • Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time.
  • Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time.
  • Continuously evaluate emerging IIoT technologies and platforms, assessing maturity, fit for purpose, and total cost of ownership, and make grounded recommendations on which to adopt, pilot, or defer based on real engineering needs.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of IIoT or industrial software engineering experience.
  • Strong programming skills in Python, C++, or Go.
  • Hands-on experience with industrial protocols (OPC UA, Modbus, MQTT, Sparkplug B).
  • Experience with at least one major cloud IoT platform (AWS, Azure, GCP).
  • Hands-on experience with edge runtimes (Greengrass, IoT Edge).
  • Solid understanding of OT/IT integration patterns.
  • Experience with streaming and real-time analytics platforms.
  • Familiarity with industrial cybersecurity standards.
  • Excellent troubleshooting, communication, and documentation skills.
Preferred Qualifications
  • Experience with digital-twin platforms.
  • Hands-on experience with predictive maintenance ML models.
  • Exposure to time-series databases (InfluxDB, TimescaleDB).
  • Familiarity with Unified Namespace (UNS) patterns.
  • Industrial certifications (ISA, IEC 62443).

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.

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