Brussels, Brussels, Belgium

EVERIENCE is hiring a Tech Lead & Solution Architect

As a Tech Lead & Solution Architect, you will play a pivotal role in shaping the technical direction of our real-time energy optimization platform. You'll lead a cross-functional engineering team, driving the design and implementation of scalable, event-driven microservices in a cloud-native environment. You'll be responsible for making key architectural decisions, ensuring system resilience, performance, and maintainability, while also mentoring engineers and promoting modern software engineering practices. This role bridges deep technical expertise with leadership, requiring close collaboration with product, operations, and domain specialists to deliver robust, observable, and secure systems that support mission-critical energy workflows.

Responsibilities

  • Lead a small engineering team of 3–5 members, providing technical guidance across design, development, testing, and delivery phases.
  • Collaborate with analysts, operations, and domain experts to align technical solutions with business needs.
  • Translate operational and business requirements into scalable, resilient system architectures.
  • Create comprehensive architectural documentation including diagrams, API specifications, and interaction models.
  • Assess and recommend improvements to systems focusing on performance, resilience, observability, and maintainability.
  • Champion modern engineering practices in cloud infrastructure, DevOps, and distributed systems.
  • Break down complex features and architectural changes into manageable, incremental development tasks.
  • Develop high-performance backend services and APIs using C#.NET.
  • Implement automated testing, CI/CD pipelines, and deployment automation using GitHub Actions.
  • Contribute to containerized deployments and orchestration with Kubernetes in cloud-native environments.
  • Define and implement observability standards including metrics, logging, alerts, and dashboards.
  • Engage in the full application lifecycle from development and testing to deployment, documentation, and incident support.
  • Produce operational documentation and user guides to support system usage and maintenance.
  • Support production stability through monitoring, incident analysis, and level-2 troubleshooting.
  • Investigate recurring system issues and implement long-term architectural or operational fixes.

Requirements

  • Minimum of 6+ years of experience in software development with a focus on technical leadership and system architecture.
  • Advanced skills in C# and .NET, including asynchronous programming, multithreading, and performance tuning.
  • Proven experience with event-driven systems using technologies such as Kafka, Azure Event Hub, MQTT, or Azure Service Bus.
  • Strong understanding of distributed systems, including scalability, fault tolerance, idempotency, and backpressure handling.
  • Hands-on experience with Azure Cloud; AWS experience is acceptable if paired with willingness to transition to Azure.
  • Production-level experience with Kubernetes, covering deployments, autoscaling, ConfigMaps, secrets, and monitoring.
  • Experience managing stateful components, particularly using Redis for caching or state storage.
  • Solid knowledge of SQL databases, with a preference for PostgreSQL.
  • Demonstrated commitment to testing, including unit and integration tests, automation, and production validation.
  • Familiarity with observability tools such as Grafana, Prometheus, or equivalent monitoring platforms.
  • Experience with CI/CD pipelines using GitHub Actions and continuous deployment workflows.
  • Fluency in English is mandatory for all roles.

Nice to Have

  • Familiarity with Azure Data Explorer is considered an advantage.
  • Experience with Scala, Rust, or Python, particularly in cloud services, edge computing, or collaboration with analytics teams.
  • Background in large-scale, real-time, or mission-critical systems development.
  • Knowledge of energy or industrial systems is beneficial but not required.

Tech Stack

C#.NET, Kafka, Azure Event Hub, MQTT, Azure Service Bus, Azure Cloud, AWS, Kubernetes, Redis, PostgreSQL, Grafana, Prometheus, GitHub Actions, Docker, Helm, Istio, gRPC, OpenTelemetry, Azure Data Explorer, Terraform

Benefits

  • Competitive salary and performance-based bonuses
  • Comprehensive health and wellness benefits including medical, dental, and vision coverage
  • Flexible work arrangements with hybrid or remote options

Team

You will be joining a dynamic and innovative engineering team focused on building next-generation energy optimization solutions. The team operates in an agile, collaborative environment with strong emphasis on technical excellence, continuous learning, and rapid iteration. You'll work closely with architects, developers, data engineers, and domain experts in a culture that values ownership, transparency, and knowledge sharing.

Additional Information

  • This position requires occasional on-call availability for critical system incidents.
  • Regular opportunities for professional development, certifications, and conference participation are encouraged and supported.
  • The company promotes diversity, inclusion, and a healthy work-life balance.
Required Skills
C#.NETKafkaAzure Event HubMQTTAzure Service BusAzure CloudAWSKubernetesRedisPostgreSQLAzure Data ExplorerGrafanaPrometheusGitHub ActionsScala C#.NETKafkaAzure Event HubMQTTAzure Service BusAzure CloudAWSKubernetesRedisPostgreSQLAzure Data ExplorerGrafanaPrometheusGitHub ActionsScala
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
All jobs at EVERIENCE Visit website
Job Details
Department Software Development
Category management
Posted 2 months ago