Bright Vision Technologies Logo

Bright Vision Technologies

Industrial IoT Engineer

Posted Yesterday
Be an Early Applicant
In-Office
San Ramon, CA, USA
100K-150K Annually
Senior level
In-Office
San Ramon, CA, USA
100K-150K Annually
Senior level
Design and deliver end-to-end Industrial IoT systems: edge data acquisition from PLCs/SCADA, secure connectivity, cloud ingestion, real-time analytics, dashboards, OT/IT integration, device management, and mentorship of junior engineers while ensuring industrial cybersecurity and operational documentation.
The summary above was generated by AI
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 Industrial IoT 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: Industrial IoT 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
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
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/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
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 Industrial IoT (IIoT) 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).

How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to [email protected]
Learn more about Bright Vision Technologies at www.bvteck.com.
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.
Position offered by “No Fee Agency.”

Similar Jobs

10 Days Ago
Remote or Hybrid
United States
100K-180K Annually
Senior level
100K-180K Annually
Senior level
Cloud • Internet of Things • Software • Database • Big Data Analytics • Automation • Manufacturing
As an Industrial IoT Systems Engineer, you will integrate factory equipment, design data pipelines, manage industrial servers, and ensure connectivity and security across industrial systems.
Top Skills: Analog I/OAws IotAzure IotCC++Digital I/OGoogle Cloud IotJavaModbusMqttOpc-UaProfinetPython
33 Minutes Ago
Remote or Hybrid
San Francisco, CA, USA
220K-240K Annually
Senior level
220K-240K Annually
Senior level
Healthtech • Social Impact • Software
Lead and execute Grow Therapy's multi-year Security Engineering roadmap. Build secure-by-default infrastructure (auth, authZ, logging, egress), drive data security and systematic data tagging, develop org-wide security scorecards, enable automated least-privilege and vulnerability management, and influence AI-native security and security culture across product, platform, and compliance teams.
2 Hours Ago
Remote or Hybrid
2 Locations
212K-244K Annually
Mid level
212K-244K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead selection, implementation, and administration of marketing and sales technologies to drive growth and customer engagement. Manage and coach a team, execute digital marketing and creative campaigns, optimize marketing automation and Salesforce analytics, ensure data quality and validation, and partner with stakeholders to improve processes and deliverables from planning through completion.
Top Skills: Adobe Data CollectionAdobe Experience Manager (Aem)Adobe Martech PlatformsAnalytics InstrumentationCdpCRMDom ManipulationHTMLJavaScriptMarketing AutomationSalesforce Crm AnalyticsSalesforce Marketing CloudTypescriptWeb Sdk

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account