Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative.

Create and enhance projects in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.

Be part of the team that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.

Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity.

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.

Previous experience working with enterprise customers and complex solution deployments.

At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.

Come join the Team!