AWS IoT Engineer
You are responsible for design and build secure AWS IoT solutions using MQTT, Python, and Node.js to connect devices, automate workflows, and support scalable cloud systems
- Working Hours: Mon-Fri
- Working Location: Central
- Job Type: Contract
- Salary Package: Up to $9800 (basic) + AWS
Responsibilities
- Design, develop, and deploy IoT solutions on AWS using services such as IoT Core, Lambda, API Gateway, DynamoDB, and S3.
- Build MQTT-based communication pipelines for device connectivity, messaging, and telemetry processing.
- Develop backend services and APIs using Python and/or Node.js to support IoT workflows and device management.
- Implement device provisioning, authentication, and secure communication (IAM, certificates, policies).
- Develop data ingestion, processing, and analytics pipelines for sensor and device data.
- Monitor, troubleshoot, and optimize IoT solutions for performance, latency, and reliability.
- Work with hardware, firmware, and cloud teams to ensure seamless end-to-end integration.
- Support CI/CD automation, testing, and deployment using AWS DevOps tools.
- Produce technical documentation, architecture diagrams, and operational guidelines.
Requirements
- 2–5 years of experience in AWS cloud development or IoT-related engineering.
- Strong hands‑on experience with AWS IoT Core and MQTT protocol.
- Proficient in Python and/or Node.js for backend development and automation.
- Experience with AWS services (Lambda, DynamoDB, SQS, SNS, CloudWatch, Cognito).
- Understanding of IoT security (device identity, certificates, encryption).
- Experience with REST APIs, WebSockets, JSON, and event‑driven architectures.
- Familiar with Git, CI/CD, and container technologies (Docker is a plus).
- Strong problem‑solving skills and ability to work independently.
Good‑to‑Have
- Experience with edge computing (AWS Greengrass).
- Knowledge of industrial IoT, sensors, or embedded systems.
- Exposure to real‑time data processing, time‑series databases, or Kinesis.
- Familiarity with Terraform or CloudFormation.
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Elane Yap Theng Yu- R1989397
ScienTec Consulting Pte Ltd - 11C5781