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Azure IoT Engineer

Job in New London, New London County, Connecticut, 06320, USA
Listing for: AIS (Applied Information Sciences)
Full Time position
Listed on 2026-03-13
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Why AIS?

When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership:
    Your contributions directly impact the company’s success, and you share in its achievements.
  • Continuous Learning:
    Access to resources, training, and mentorship to support your professional growth.
  • Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.
  • Mission-Driven Work:
    Engage in projects that make a meaningful difference for our clients and communities.
What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Infrastructure Engineer.

  • Core Knowledge &

    Skills:

    Designs complex network and hybrid‑cloud solutions; implements security controls, DR/BCP, and automated IaC with deployment pipelines; performs advanced performance tuning.
  • Work & Complexity:
    Solves complex issues, designs and delivers new infrastructure solutions, performs capacity planning, and leads advanced automation initiatives.
  • Quality & Independence:
    Drives root‑cause analysis, enforces best practices and QA on changes, optimizes for reliability and user experience; operates with high autonomy.
  • Teamwork & Communication:
    Leads cross‑functional efforts, mentors juniors, facilitates knowledge transfer, and aligns stakeholders with technical plans.
  • Consulting & Engagement:
    Provides strategic input on infrastructure initiatives, recommends advanced technologies, and manages vendor relationships.

As your initial project assignment, you will support the unique needs of our client as a Azure IoT Engineer.

Project Summary

AIS supports a Federal contract aiming to connect shipyard industrial equipment IoT sensors to Azure IoT to enable real-time telemetry, predictive maintenance, asset monitoring, and advanced analytics.

Key Responsibilities
  • Design and implement end‑to‑end Azure IoT solutions connecting industrial sensors and equipment to Azure.
  • Deploy and configure Azure IoT Hub, Azure IoT Edge, and Azure Digital Twins.
  • Design architectures for secure ingestion of telemetry and equipment data into Azure.
  • Implement device‑to‑cloud and edge‑to‑cloud communication pipelines.
  • Integrate industrial sensors, PLCs, and machine controllers with edge gateways.
  • Configure and deploy Azure IoT Edge runtime on industrial gateways.
  • Ingest telemetry into Azure services including Azure IoT Hub, Azure Event Hub, Azure Data Explorer, Azure Data Lake, and Azure Stream Analytics.
  • Implement device identity management and certificate‑based authentication.
  • Configure CI/CD pipelines for IoT Edge modules.
Required For This Opportunity
  • Five (5) years of hands‑on experience implementing Azure IoT solutions, including Azure IoT Hub and IoT Edge, to ingest and manage device telemetry.
  • Bachelor’s Degree in Computer Engineering, Electrical Engineering, Industrial Engineering, Computer Science, or related discipline.
  • Experience integrating industrial sensors, PLCs, or control systems with edge gateways or cloud platforms.
  • Working knowledge of industrial communication protocols such as OPC‑UA, Modbus, MQTT, or AMQP.
  • Experience deploying and managing edge computing environments using containerized workloads (e.g., Docker) on industrial gateways.
  • Proficiency in software development or scripting for device integration or edge modules (e.g., Python, C#, or Node.js).
  • Understanding of industrial networking and secure device connectivity, including TLS, certificate‑based authentication, and firewall/network configuration.
  • Experience designing telemetry ingestion…
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