Responsable Equipe APM - APM Software Team Leader

GE Vernova; Montpellier; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Grid Automation recherche un responsable technique logiciel pour diriger l'équipe Asset Performance Management et assurer la livraison des fonctionnalités critiques. Vous travaillerez avec les équipes produit et architecture afin de garantir qualité et évolutivité.

Le candidat idéal possède une expérience approfondie en systèmes distribués, IA/ML en production et gestion d'équipes internationales, dans un contexte industriel et dynamique.

Qualifications

• Diplôme Bachelor ou Master en informatique ou discipline technique similaire.
• 8–10 ans d'expérience en développement logiciel avec leadership.
• Expérience backend avec Java/C# ou équivalent.
• Expérience avec systèmes distribués et architectures client-serveur.
• Expérience avec bases de données, APIs et intégrations systèmes.
• Environnements Agile ou itératifs.
• Expérience leadership équipes distribuées internationales.
• Excellentes capacités d'analyse et résolution de problèmes.
• Bonnes compétences de communication et leadership.
• Expérience avec Asset Performance Management, prédictive ou maintenance conditionnelle.
• Expérience IA/ML en production (MLOps, monitoring).
• Capacité à influencer sans autorité et prioriser.
• Bonnes compétences organisationnelles et coordination multiéquipes.
• Capacité à naviguer dans des organisations matrices.
• Engagement envers amélioration des processus.
• Connaissance des pipelines de données et analyses.
• Connaissance du domaine actifs du réseau électrique.

Responsabilités

• Diriger l'équipe de développement logiciel responsable du produit Asset Performance Management.
• Assurer la livraison des fonctionnalités, versions et maintenance.
• Planifier et coordonner le développement entre équipes distribuées.
• Travailler avec Product Management pour traduire les besoins en plans techniques.
• Assurer qualité, maintenabilité et fiabilité logiciel.
• Guider les décisions techniques et soutenir le design.
• Collaborer avec Architecture, QA, UX et DevOps pour alignement.
• Veiller aux processus de développement: revues de code, tests, documentation, releases.
• Gérer les risques techniques et la dette.
• Aider au dépannage de problèmes techniques complexes.
• Construire et diriger une équipe software performante.
• Participer au recrutement, onboarding, coaching et performance.
• Favoriser collaboration, ownership et amélioration continue.
• Assurer communication et coordination entre équipes distribuées et parties prenantes.
• Contribuer à la roadmap produit et technique à long terme.

Connaissances

Leadership

Distributed systems

Backend Java/C#

APM knowledge

AI/ML in prod

Cross-functional

MLOps

Reliability engineering

Analytical skills

Communication

Formation

Bachelor/Master en CS ou génie logiciel

Outils

Java

C#

APIs

Databases

DevOps

Description du poste

Job Description Summary

Grid Automation propose à ses clients une gamme complète de produits, systèmes et services innovants couvrant la conception et la fabrication, ainsi que la mise en service et la maintenance à long terme de solutions de protection et d’automatisation des postes électriques. Cela inclut les relais de protection, les systèmes de contrôle, les solutions de cybersécurité, la gestion des équipements, la performance des actifs, et plus encore.

Grid Automation offers its customers a complete range of innovative products, systems and services covering design and manufacture, as well as commissioning and long‑term maintenance of Substation Protection and Automation solutions. This includes protection relays, control systems, cybersecurity solutions, device management, asset performance, and more.

Job Description

Responsibilities

• Lead the software development team responsible for the Asset Performance Management product.
• Own delivery of software features, releases and maintenance for the product.
• Plan and coordinate development activities across distributed teams in collaboration with the APM Project Manager.
• Work closely with Product Management to translate product requirements into development plans and technical solutions.
• Ensure high software quality, maintainability, and reliability of the product.
• Guide technical decisions and support the team in software design and implementation.
• Collaborate with Software Architecture, QA & Testing, UX, and DevOps teams to ensure alignment with common practices and platform architecture.
• Ensure proper software development processes are followed, including code reviews, testing, documentation, and release processes.
• Manage technical risks, technical debt, and system improvements.
• Support troubleshooting of complex technical issues and customer problems when required.
• Build, lead, and develop a high‑performing software engineering team.
• Support hiring, onboarding, coaching, and performance management of team members.
• Foster collaboration, ownership, and continuous improvement within the team.
• Ensure effective communication and coordination across distributed teams and stakeholders.
• Contribute to long‑term product and technical roadmap planning.

Qualifications

• Bachelor’s or Master’s degree in Software Engineering, Computer Science, or similar technical discipline.
• Minimum of 8–10 years of experience in software development, with experience in technical leadership or team leadership roles.
• Strong experience with backend/server software development using technologies such as Java, C#, or similar.
• Experience working with distributed systems, client‑server architectures, or large‑scale device management systems.
• Experience working with databases, APIs, and system integrations.
• Experience working in Agile or iterative development environments.
• Experience leading distributed or international software development teams.
• Strong problem‑solving and analytical skills.
• Strong communication and leadership skills.
• Experience with Asset Performance Management (APM) systems, predictive analytics platforms, or condition‑based monitoring solutions for industrial assets.
• Proven experience with optimization algorithms, including maintenance optimization, risk‑based optimization, or fleet‑level resource optimization.
• Experience with Reliability‑Centered Maintenance (RCM) methodologies, failure mode analysis (FMEA), or reliability engineering principles applied in software systems.
• Hands‑on experience or strong technical understanding of AI/ML technologies, including machine learning model development, deployment, and integration into production software (e.g., predictive maintenance models, anomaly detection, remaining useful life estimation).
• Demonstrated ability to influence and align cross‑functional stakeholders (product management, architecture, operations) without direct authority, driving consensus on technical direction and priorities.
• Strong coordination skills with proven ability to orchestrate work across multiple teams, time zones, and organizational boundaries while maintaining delivery momentum.
• Excellent written and verbal communication skills, with the ability to translate complex technical concepts into clear messaging for both technical and non‑technical audiences.
• Track record of building trusted relationships with senior leadership and effectively advocating for team needs, resources, and strategic investments.

Desired Characteristics

• Experience working with device management systems, IoT platforms, industrial software, or similar large‑scale systems.
• Experience with software deployment, version management, and update mechanisms.
• Experience with cybersecurity considerations for device communication and software updates.
• Structured and pragmatic mindset, balancing technical quality with delivery timelines.
• Strong ownership mindset and ability to drive topics to completion.
• Ability to work in international and matrix organizations.
• Experience collaborating with product management, architecture, QA, and UX teams.
• Continuous improvement mindset and interest in improving development processes and engineering practices.
• Experience with data pipelines and analytics frameworks for processing large volumes of sensor/telemetry data from grid‑connected assets.
• Familiarity with statistical modeling, time‑series analysis, or digital twin concepts for asset health assessment.
• Experience leading teams that develop and operationalize AI/ML models in production environments (MLOps, model monitoring, retraining pipelines).
• Knowledge of power grid assets, substation equipment, or utility industry standards related to asset management (e.g., IEEE, IEC standards).
• Experience facilitating cross‑team workshops, design reviews, or alignment sessions that drive shared understanding and joint decision‑making.
• Ability to navigate organizational complexity, manage competing priorities from multiple stakeholders, and resolve conflicts constructively.
• Coaching and mentoring mindset with experience developing individuals’ communication, collaboration, and leadership capabilities.

Additional Information

Relocation Assistance Provided: No