Brussels, Brussels, Belgium Employment

EVERIENCE is hiring a Tech Lead & Solution Architect

About the Role

EVERIENCE is looking for a Tech Lead & Solution Architect to lead a team of software engineers and architect robust systems for real-time energy asset operation and optimization platforms. You will design scalable architectures and develop backend services, placing you at the heart of transforming the workplace through a symbiotic relationship between humans and AI.

What You'll Do

  • Lead a team of 3–5 software engineers, offering guidance on design, development, testing, and delivery practices.
  • Facilitate technical discussions with functional analysts, operations teams, and domain experts.
  • Translate business and operational needs into robust, scalable system architectures.
  • Produce clear architectural documentation: diagrams, sequence flows, API specifications, and component breakdowns.
  • Evaluate technical solutions and propose improvements regarding performance, resilience, observability, and maintainability.
  • Promote best practices aligned with modern cloud, DevOps, and distributed systems engineering.
  • Break down new features and architectural evolutions into agile, incremental development steps.
  • Develop backend services and high‑performance APIs using C#.NET.
  • Implement automated testing frameworks, CI/CD pipelines, and deployment automation.
  • Contribute to containerized and cloud‑native deployments, including Kubernetes-based orchestrations.
  • Ensure robust observability by defining metrics, logs, alerts, and dashboards.
  • Participate in the full lifecycle of applications: development, testing, deployment, documentation, operations, and troubleshooting.
  • Produce user guides and operational documentation.
  • Support monitoring, incident analysis, and level‑2 technical support to ensure stable production operations.
  • Identify root causes of recurring issues and propose long-term solutions.

What We're Looking For

  • At least 6+ years of experience in software development, technical design, and architectural responsibilities.
  • Advanced proficiency in C# / .NET, including async programming, multithreading, and performance optimization.
  • Strong experience designing or maintaining event-driven architectures with Kafka, Azure Event Hub, MQTT, or Azure Service Bus.
  • Solid understanding of distributed system principles: high availability, scalability, resilience, ordering, idempotency, fault tolerance, error-handling, backpressure, and streaming data.
  • Hands-on experience with Azure Cloud (or experience with AWS and willingness to switch).
  • Production experience with Kubernetes, including workload deployments, autoscaling, ConfigMaps & secrets, and observability.
  • Experience with stateful components, particularly Redis for caching or state management.
  • Good knowledge of SQL databases, especially PostgreSQL.
  • Strong testing culture: unit tests, integration tests, test automation, production validation.
  • Experience with observability tooling such as Grafana, Prometheus, or similar monitoring systems.
  • CI/CD experience with GitHub Actions, including continuous deployment setups.
  • Fluent English (required).
  • Proactive, positive, and highly collaborative mindset.
  • Ability to decompose complex technical problems and propose practical, scalable solutions.
  • Strong communication skills with both technical and non‑technical stakeholders.
  • Leadership capabilities: mentoring, decision‑making, and team support.
  • Sense of ownership, accountability, and attention to detail.
  • Humility, openness to feedback, and commitment to teamwork.

Nice to Have

  • Familiarity with Azure Data Explorer is a plus.
  • Experience with at least one of the following languages/environments: Scala (cloud services), Rust (edge computing), Python (collaboration with analytics teams).
  • Experience contributing to large-scale real-time or mission-critical systems.
  • Familiarity with energy or industrial systems is appreciated but not mandatory.
  • Fluency in French or Dutch.

Technical Stack

  • Primary: C#, .NET
  • Event-Driven: Kafka, Azure Event Hub, MQTT, Azure Service Bus
  • Cloud: Azure Cloud
  • Orchestration: Kubernetes
  • Data: Redis, PostgreSQL
  • Observability: Grafana, Prometheus
  • CI/CD: GitHub Actions
  • Additional: Scala, Rust, Python

Team & Environment

You will lead a team of 3–5 software engineers and collaborate with architects, developers, analysts, and business/domain experts. EVERIENCE offers a demanding and stimulating environment to transform and develop your skills.

All our positions are open to people with disabilities.

Required Skills
C#.NETKafkaAzure Event HubMQTTAzure Service BusAzure CloudKubernetesRedisPostgreSQLasync programmingmultithreadingperformance optimizationevent-driven architecturedistributed systems
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About company
EVERIENCE

Description de l'entreprise: HELPLINE est spécialisée dans l’infogérance du support utilisateur et la mise en œuvre d’une expérience collaborateur augmentée par l’IA, où l’expertise humaine et la technologie s’enrichissent mutuellement. Ses équipes assurent le support utilisateur, le support applicatif, le support de proximité, la gestion des actifs IT et la GRC (Gouvernance, Risque et Conformité).Sa mission est double : soutenir les besoins opérationnels des DSI et des métiers ; et offrir aux collaborateurs une expérience fluide et fiable, alignée avec les standards des marques grand public.Intervenant en France et dans le monde, HELPLINE compte 2500 collaborateurs au service de plus de 200 clients. Elle affiche un CA de +200 M€ en 2025.HELPLINE fait partie d’Everience, groupe international de conseil et de services numériques augmentés, pionnier de la symbiose Homme-IA en entreprise.Située au cœur du 7ème, l’agence de Lyon est née en 2019, elle compte aujourd’hui 150 collaborateurs qui œuvrent soit sur le centre de services, soit chez nos clients en assistance technique. Nous rayonnons sur l’ensemble de la Région Rhône Alpes Auvergne avec des références clients telles que l’EM Lyon, SNCF, SUEZ… Description du poste: Contexte de la missionDans le cadre de la mise en place d’un Sales AI Copilot destiné à assister les équipes commerciales (exploitation des données CRM, recommandations, synthèses, génération de contenus, etc.), le Data Scientist Confirmé interviendra sur des sujets à la fois data, machine learning et LLMs, avec une forte compréhension des enjeux métiers liés aux processus commerciaux.Tâches à réaliser· S’approprier le business sales (processus commerciaux, pipeline, forecast, CRM…).· Comprendre les modèles de données et les flux entre les différentes sources (CRM, ERP, outils internes…).· Conception de solutions data-driven.· Réaliser des analyses exploratoires et des études ad hoc pour éclairer les décisions business.· Concevoir et développer des modèles ML (scoring, recommandations, priorisation des opportunités, etc.).· Mettre en œuvre des cas d’usage LLM pour le copilot (Q&A, résumés, génération de texte, RAG, etc.).· Travailler sur l’industrialisation des modèles et des flux : pipelines de données, entraînement, déploiement.· Collaborer avec les data engineers / architectes sur l’environnement Azure.· Assurer le monitoring (qualité des données, performance des modèles).· Participer aux échanges avec les équipes métier (sales, marketing, management).· Être capable de vulgariser les résultats, de présenter des recommandations et de challenger les besoins.· Prendre, au besoin, des tâches de data analyst (reporting, dashboards, analyses ponctuelles).· Contribuer activement à la roadmap du copilot AI et aux priorités data. Qualifications: Profil recherchéMinimum 3 ans d’expérience professionnelle en Data ScienceExpert : Python / Full Stack Python / Data Science & Machine LearningConfirmé : Generative AI / LLMs / SQL / Azure SQL / Microsoft Azure / GitAnglais courant Informations supplémentaires: Tous nos postes sont ouverts aux personnes en situation de handicap

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Job Details
Department Software Development
Category management
Posted 14 days ago