Azure IoT Engineer

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.

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.

• Core Knowledge & Skills: Designs complex network and hybridcloud 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 rootcause analysis, enforces best practices and QA on changes, optimizes for reliability and user experience; operates with high autonomy.

• Teamwork & Communication: Leads crossfunctional 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.

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.

• Design and implementend-to-end Azure IoT solutionsconnecting industrial sensors and equipment to Azure.

• Deploy and configureAzure IoT Hub, Azure IoT Edge, and Azure Digital Twins.

• Design architectures forsecure ingestion of telemetry and equipment datainto Azure.

• Implementdevice-to-cloud and edge-to-cloud communication pipelines.

• Integrateindustrial sensors, PLCs, and machine controllerswith edge gateways.

• Configure and deployAzure 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.

• Implementdevice identity management and certificate-based authentication.

• ConfigureCI/CD pipelines for IoT Edge modules.

• 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 and data pipelines into cloud data platforms for monitoring, analytics, or predictive maintenance.

• Ability to work onsite in industrial or shipyard environments, collaborating with mechanical, electrical, and operations teams to instrument equipment and troubleshoot sensor integrations.

• Experience with industrial IoT deployments in manufacturing, maritime, or energy sectors

• Familiarity with predictive maintenance solutions

• Experience with Azure Machine Learning for equipment analytics

• Knowledge of SCADA systems and industrial monitoring platforms

• Experience integrating with CMMS or asset management systems

• Certifications such as Microsoft Certified: Azure IoT Developer Specialty; Microsoft Azure Solutions Architect; or Industrial IoT Certifications

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.