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nick korres

@nickkorres

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Backend Engineer building real-time IoT data systems and microservices for edge-to-cloud pipelines.

Greece

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What I'm looking for

I’m looking to lead backend systems for edge-to-cloud IoT and real-time data—microservices, Kafka Streams, Elasticsearch, and reliable CI/CD—where engineering rigor, clear architecture, and hands-on delivery are valued.

I’m a Backend Engineer focused on real-time IoT data systems and distributed edge-to-cloud pipelines. As Tech Lead & IoT Engineer at i4 Energy, I lead the development of microservices that power device communication across Modbus, OPCUA, and IEC 104—serving 200+ installations—while mentoring a team of 4–5 engineers and shaping architecture decisions.

I design high-throughput data flows with Kafka Streams and Elasticsearch, build multi-protocol IoT gateways for data normalization and protocol conversion, and automate deployment at scale with a template-based import system for tree-structured configuration entities. Previously at MAS S.A., I built SCADA/automation backend pipelines handling 13,440+ metrics/second, developed real-time visualization/alerting APIs with Deno and Node.js (TypeScript), and managed production Kubernetes workloads and MQTT-driven auto-deploy for on-premise installations.

Experience

Work history, roles, and key accomplishments

Current

Tech Lead & IoT Engineer

Current

i4 Energy

Feb 2024 - Present (2 years 4 months)

Led distributed IoT infrastructure development serving 200+ installations, managing a team of 4–5 engineers through code reviews, mentoring, and architecture decisions. Architected and deployed Node.js, Django, and Quarkus microservices for Modbus/OPC UA/IEC 104 device communication and built Kafka Streams + Elasticsearch real-time aggregation pipelines.

Python Django Quarkus Kafka Streams Elasticsearch Modbus OPC UA IEC 104 MQTT Kubernetes

Backend Developer

MAS S.A.

Feb 2021 - Feb 2024 (3 years)

Contributed to a SCADA/automation platform for energy installations, processing 13,440+ metrics/second from 28 installations via Kafka to Elasticsearch. Built real-time backend APIs with Deno and Node.js (TypeScript), implemented multi-level aggregation with Node-RED, and managed production Kubernetes workloads including an auto-deploy service driven by MQTT commands.

Deno TypeScript Kafka Elasticsearch Kubernetes Node RED MQTT REST APIs

Education

Degrees, certifications, and relevant coursework

Aristotle University of Thessaloniki

Master of Engineering (M.Eng), Electrical and Computer Engineering

2012 - 2019

Activities and societies: Relevant coursework included Operating Systems, Data Structures, Databases & Security, Algorithm Analysis, Parallel & Distributed Computing, and Intelligent Robot Systems.

M.Eng in Electrical and Computer Engineering. Thesis focused on solving sparse linear systems using belief propagation on probabilistic models, including an optimization and parallel implementation of Gaussian Belief Propagation (GaBP).