Specialist – Enterprise IoT Service
Description
We are pleased to announce the
position of Specialist – Enterprise IoT Service in the Technology Enterprise
Services within the Technology Division. In keeping with our current business
needs, we are looking for a person who meets the criteria indicated below.
Reporting to the Manager – Enterprise
IoT Services, the role holder will be required to design, deliver and operate
Internet of Things (IoT) services for Enterprise customers. Contribute in
collaborative effort to deliver, develop and maintain technical aspects of IoT
service for Enterprise customers. This includes but not limited to
Networks, platforms, professional service, IoT device management, Partner
engagement and performance management.
Key Responsibilities:
Lead and champion Enterprise IoT
technology delivery for Enterprise customers.
Lead and champion IoT capacity building
effort to scale.
Lead and motive for design of
processes to design, deploy and operate IoT technologies for Enterprise
customers.
Define IoT Performance management
metrics to measure success criteria and lead optimization efforts.
Lead in identification, selection and
management of IoT delivery and support partners for Enterprise customers.
Lead collaborative effort with
stakeholders to create IoT center of excellence, build competence for scale.
Define, review and Optimize customer
journey for Enterprise IoT services.
Qualifications
Degree in BSc Computer Science,
Telecoms, Electronic Engineering, Data Science or any other relevant
qualification.
Teamwork: Teamwork, Agile, Scrum,
HW-SW codesign
Business Intelligence: Streaming
Analytics, Predictive Analytics, Hadoop, PowerBI, Tableau, Machine learning,
Elastic Stack
Information security: Cryptography,
Authentication, Non-repudiation, Encryption, Ciphers, Public Key
Infrastructure, Elliptical Curve Cryptography, AES, RSA, SSL, TLS, DTLS and VPN
UI/UX designer: Mobile UI, UX vs UI,
Material design, Angular2, Front End, Javascript, CSS, Bootstrap, Basic colors.
Mobile development: Android, IoS,
Cordova, Meteor, BLE, Java.
Hardware Interfacing: Raspberry Pi,
Arduino, GPIO, USB, I2C, LEDs, FPGA, ASICs, SoC, Bluetooth, LoRaWAN,
Microcontrollers, ARM Cortex.
IP Networking: Routing, Switching,
VPN, MQTT, CoAP, AMQP, HTTP, SSL, DTLS, HTTPS, Nginx, Mosquitto, Load Balancing
Automation: Test Automation, Unit
Test, CPPUnit, JUnit, SOAPUI, Mocha, Regression, JMeter
Design for data:
Big Data, MongoDB, Apache Cassandra,
Spark, Elastic Stack
ML/AI: Machine Learning, Deep
Learning, AI, Neural Networks, TensorFlow
Linux, Unix, project management,
mobile networks architecture, data center architecture, AT commands, TCP/IP,
WAN/LAN, LoRa, Sigfox, OBDII, SAE, protocols, cloud architecture, J2EE, iOS,
Android, raspberry pi, raspbian, mobile computing, micro chip design, data
analysis, algorithm, data structure, data architecture, postgresql, XML, JSON,
Nodes.JS, Agile, SCRUM, intellectual property
How to Apply
