Job Description

About the job:

The IoT Solutions Manager will be responsible for leading the end-to-end design and integration of IoT-based solutions. This includes combining core platform components (ATE, Aggregators, Firemon, Cumulocity IoT Core applications), custom-developed extensions, and device integration to deliver a seamless, integrated offering. The role involves managing ongoing IoT projects and overseeing their various stages, including "New System Onboarding," "Platform Upgrades," "Direct MQTT," and "Vendor Activities." Additionally, the candidate will plan and manage new IoT project deliveries and collaborate with teams to develop the IoT solutions roadmap, implementing parts of it while coordinating with various stakeholders and vendors.

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Minimum Experience/Education/Knowledge & Skills:

Experience

: 6+ years of hands-on experience in handling IoT platforms, including RNP2, MQTT client/broker, and microservices. Experience with core IoT platforms such as

Cumulocity

,

Firemon

,

Aggregator

, and IoT Edge & Gateway integration with platforms, dashboards, OSS/BSS systems, CRM, etc. Familiarity with cloud networking and virtualized environments. Familiarity with IoT-optimized data architectures, including relational (PostgreSQL, TimeScale DB, SQL Server, MariaDB), in-memory (Redis), and distributed databases (Cassandra/Scylla DB). Proven experience with

Smart Building Use-cases

, such as Fire Alarm Monitoring Systems. Proficiency in

Linux Administration

,

Java

,

Python

,

C

,

PySpark

, and

IoT certification

(Cumulocity). Expertise in

SDLC

for IoT projects (Agile/DevOps), using tools like

JIRA

,

Confluence

,

CI/CD pipelines

(Jenkins/GitLab). At least 2 years of hands-on experience with

Emerging IoT Technologies

, including IoT-centric

AI/ML

(PySpark MLlib, TensorFlow Lite), real-time big data processing (Spark Streaming, Flink), and predictive analytics for device telemetry.

IoT Data Pipeline Expertise

: Experience in building and managing

IoT data pipelines

using

Databricks

,

Kafka

,

Cloudera

tools, and time-series databases (InfluxDB, TimescaleDB). Proficient in creating real-time IoT dashboards and integrating telemetry from platforms like

Grafana

,

Power BI

, and

Cumulocity

for actionable insights.

Advanced Protocol Knowledge

: Expertise in

REST

,

SOAP

,

IoT-specific protocols

(MQTT, CoAP), and API security (OAuth 2.0, mTLS). Extensive experience in real-world

IoT integrations

, such as legacy systems (e.g.,

BACnet/Modbus to REST

,

SAP IoT Edge bridging

) with proven success in carrier-grade deployments and SLA enforcement.

Skills

:

Proficient Communication & Presentation Skills

. * Strong

analytical and problem-solving skills

.