TEKNIKOZ
Website:
teknikoz.com
Company:
https://www.linkedin.com/company/teknikoz
Industries: IT Services and IT Consulting
Job details:
GCP Architect
The architect will be responsible for end‑to‑end solution architecture, data integration, real‑time streaming pipelines, 3D/IoT modelling, and cloud-native deployment.
Key Responsibilities
1. Solution Architecture
Design the end-to-end GCP architecture for ingestion, processing, simulation, storage, analytics, visualization, and orchestration.
Architect scalable, secure, and modular solutions, covering:
People flow
Asset movement
Equipment telemetry
Environmental systems
Operational KPIs
2. Data Engineering & Real-Time Processing
Build real‑time ingestion pipelines using Pub/Sub, Dataflow, Datastream, IoT Core alternatives.
Integrate IoT sensor data, operational databases, OT systems, and external APIs.
Design time-series data models using BigQuery, Bigtable, Cloud Storage.
3. Platform Development
Define architecture for:
Real-time simulation engine
Event processing
Predictive & prescriptive analytics
3D visualization layers (e.g., Unity/Unreal/Google APIs)
Knowledge graphs (optional)
Evaluate and integrate technical frameworks (Google Digital Twins, open-source, or custom).
4. Security & Governance
Implement IAM, VPC, network security, data governance, encryption, and compliance standards.
Define monitoring using Cloud Monitoring, Logging, Error Reporting.
5. Collaboration & Leadership
Work closely with product owners, data scientists, IoT engineers, terminal SMEs, and operations teams.
Define architecture blueprints, best practices, governance frameworks, and reusable components.
Mentor engineering teams on GCP best practices & cloud-native development.
Required Skills & Experience
Technical Skills
10+ years in IT with 5+ years in cloud architecture (GCP preferred).
Strong hands-on experience with:
GCP Compute: GKE, Cloud Run, Cloud Functions
GCP Storage/Data: BigQuery, Bigtable, Spanner, AlloyDB, Cloud Storage
Streaming: Pub/Sub, Dataflow, Datastream
AI/ML: Vertex AI, model serving, MLOps (bonus)
IoT Integration: IoT Core alternatives, MQTT brokers, sensor platforms
APIs: Apigee / Cloud Endpoints
Experience with microservices, Kubernetes, CI/CD.
Knowledge of 3D engines, simulation frameworks, or digital twin technologies is a strong advantage.
Domain Skills (Preferred)
Experience in:
port terminal operations
Logistics / warehousing automation
Industrial IoT (IIoT)
Real-time operational systems
Soft Skills
Strong communication, documentation, architecture presentation.
Ability to lead cross-functional technical teams.
Strong problem-solving and innovation mindset.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
GCP Professional Cloud Architect certification preferred.
Click on Apply to know more.