Lead Architect Intelligent Systems & IoT

Hey you on that side can you believe that this ad appears on your screen by chance Nimber doesnt believe in chance...

And now your spidey senses are tingling Keep reading...

We are Nimber - we have entered the advanced technology consulting game. Our goal is to set new rules to put the world where it belongs in peoples hearts.

But what does Nimber mean In mathematics and game theory they are numbers with special properties of addition and multiplication. And what we really want is to add value to customers projects.

About the role

We are looking for a skilled Architect for Intelligent Systems to lead the technical strategy design and implementation of solutions for our enterprise customers who enable operate or make use of the Internet of Things (IoT).

This individual will be a technical lead and reference for both internal teams and customers driving data enablement and AI-driven automation across our solutions for IoT.

Responsabilities

• Define and evolve modular scalable and future-proof architectures for IoT-related solutions. Enable hyperautomation across IoT ecosystems by integrating data AI and workflow orchestration into intelligent event-driven architectures.
• Select and map the appropriate technology components for architecture and solution requirements. Continuously evaluate and test new technologies platforms products and cloud services when needed.
• Act as a technical lead and key reference for customers. Define integration architecture with external systems identifying technical dependencies risks and solutions.
• Drive continuous improvement in architecture strategies and technology for IoT solutions.
• Collaborate with business teams to align technical capabilities with monetization strategies.

Tech skills

Must-Have Core Competences

• Cloud-Native & Distributed Architectures (AWS Azure GCP Kubernetes Terraform)

• Data Platforms & Streaming Data (Data Lakes SQL and NoSQL Time-Series DBs Graph DBs) Mediation (NiFi Airflow Pentaho) brokering (Kafka RabbitMQ HiveMq) and streaming (Kafka Streams Flink Spark Streaming).

• Data Modeling & Interaction Data modeling and dynamic knowledge representation graph-based time-series relational and hierarchical data models; Data reports interactive dashboards graph and maps visualizations.

• Hyper automation Architecting systems that transform IoT data into actionable insights and automated responses with low latency integrating AI/ML in process orchestration and workflow engines (e.g. Airflow Camunda).

• Security & Compliance Architecture Data encryption (at rest/in transit) IAM Zero Trust API Security GDPR ISO 27001.

Important-to-Have Context Competences

• Edge-to-Cloud Architecture Design scalable edge-to-cloud architectures optimize data flow and balance edge intelligence vs. centralized processing.

• IoT Data Exchange Standards Understanding of data serialization formats for efficient transport and processing (e.g. Protobuf Avro) familiarity with observability and telemetry frameworks (e.g. OpenTelemetry Prometheus) knowledge of IoT and industrial data exchange protocols (MQTT OPC-UA SNMP Modbus Profinet).

• IoT Device Management Secure onboarding provisioning edge-to-cloud multi-vendor interoperability and remote device management;

• API & Enterprise Integration Designing secure API-first architectures using event-driven microservices API-Gateways (Kong Apigee AWS API Gateway) and integrations with Enterprise IT systems (ERP CRM Supply Chain Management).

• Connectivity Knowledge Knowledge of IoT connectivity layers (e.g. 4G/5G connectivity LPWAN).

• Cost-Aware & Scalable Thinking Ability to balance performance scalability and cost-efficiency across cloud edge and hybrid deployments.

• Operational & Human-Centric Perspective Practical focus in the solution operational feasibility user adoption and experience.

• Project & Leadership Experience Leading cross-functional engineering teams guiding technical decision-making and ensuring successful delivery in agile environments.

PERSONAL TRAITS

• 8 years in software engineering and architecture.
• Hands-on technical experience in Systems Integration Data Platforms and/or Intelligent Event-driven solutions. Proficiency in writing & reviewing code debugging distributed systems and guiding development teams in best practices
• Proven ability to design end-to-end solutions for scalable data-driven architecture and integrate AI-driven automation.
• Experience with Cloud (e.g. AWS Azure GCP) including serverless architecture hybrid cloud deployments and cloud cost-optimization strategies.
• Deep capacity and motivation for leading cross-functional technical teams and mentoring talent.

And what does Nimber expect from you

• Be passionate about what you do.
• That you take the first step using the talent of Accelerated Innovation.
• That you define the right strategy with the gift of Sensitive Impartiality.
• That you decide to put into practice the privilege of Shielded Independence daily.

This is our infallible tactic to which we add the rules of the game at Nimber: impartiality independence and fairness. All thats missing is you!

Are you ready to win with us

If you are tired of feeling like just a number send us your application and come be a Nimber.