Head of Engineering & Operations (Cloud, DevOps & Data) - VP Technology (F/M)

1) Leadership & organization

• Lead managers/tech leads across i. IT (managing the technical infrastructure / servers, virtualization, networks, storage, monitoring, redundancy, etc.), ii. Production/ Operations, i.e., IaaS and PaaS delivery on virtual or physical servers, iii. Dev/DevOps, and iv. Data as a Service, incl. Data Science support

= supervision and coordination of all IT activities: set objectives, priorities, workload planning, and delivery commitments; build a strong operating rhythm with weekly planning, risk tracking, incident reviews, roadmap follow-up (supervise team structure, on-call model, priorities, and cross-team ways of working)

• Recruit, coach, set objectives, run performance reviews, and drive skills development

2) Service delivery towards operational excellence

• Service reliability: availability, incident response, root-cause analysis, problem management
• Define and track SLAs/SLOs, uptime, latency, capacity, and operational KPIs
• Establish/maintain ITSM-ITIL processes (change, release, incident, request, CMDB where relevant)
• Ensure production readiness for new features and platform changes

3) Platform & cloud engineering

• Steer architecture and evolution of adwäisEO hybrid cloud across its 2 data centers connected to the French IT infrastructure
• Oversee platform roadmaps: compute, storage, networking, virtualization/container platforms, orchestration
• Drive automation: IaC, CI/CD for infrastructure and applications, standardization of environments
• Contribute to the operational strategy and decisions regarding infrastructure evolution

4) DevOps & software engineering governance

• Align product/application delivery with operations (DevSecOps)  ensure smooth flow from dev to production (CI/CD, IaC, release processes, environment consistency)
• Establish SDLC standards: coding practices, reviews, testing strategy, release management
• Drive automation: IaC, CI/CD for infrastructure and applications, standardization of environments
• Ensure observability is designed-in (metrics/logs/traces, alerting, dashboards)

5) Data platform & data science delivery

• Coordinate priorities between data science work and platform constraints (compute, data pipelines, governance)
• Ensure models' enter in production: training, deployment, monitoring, drift, retraining processes (MLOps)
• Balance experimentation needs with production constraints and security requirements; make sure “Data as a Service” is reliable, documented, and measurable

6) Security, risk & compliance

• Strengthen operational cybersecurity in collaboration with internal & group's teams

Own operational security posture (hardening, vulnerability management, patching, backups, DR).

• Define access controls, secrets management, network segmentation, audit trails; run regular audits/checks (backups restore tests, DR tests, access reviews)
• Ensure compliance requirements are met (SO 27001, GDPR, etc.)

7) Financial & vendor management

• Build and manage budgets for infrastructure & tools (hardware, licenses, telecom, cloud components)
• Vendor/partner management, contracts, renewals, and lifecycle planning
• Capacity planning and cost optimization across the group

8) Stakeholder management & reporting

• Act as the main interface between group & company leadership, sales/account/ engagement/ project managers, and technical teams
• Provide executive reporting: risks, roadmap, KPIs, incidents, improvements
• Support key stakeholders, incl. customers (technical governance, escalations, audits) as needed, e.g. handle escalations and customer-facing technical governance
• Develop and maintain business continuity and disaster recovery plans

Études: Niveau d'étude demandé supérieur à Bachelor (Bac +3)

Métier / domaine de formation:  Experience in leading multi-disciplinary teams (Ops + Dev/DevOps; ideally data/ML in production); strong background in hybrid cloud, datacenter operations, networking/security fundamentals with solid understanding of CI/CD, IaC, containers/orchestration, observability; proven IT production management: incident/change/problem management, on-call, reliability practices;  Comfortable with budgeting, vendors, and executive communication  Experience in SMEs or scale-ups is an advantage (versatility, autonomy)  Experience in the space sector is mandatory - Proven experience in the space sector is mandatory for this position.

Autres compétences: Strong experience managing complex IT infrastructures, ideally data center–type environments (servers, storage, virtualization, high availability, monitoring)  Proficiency with cloud or hybrid environments (Azure, AWS, or equivalent)  Good knowledge of operating systems: Linux and Windows Server  Foundational cybersecurity knowledge, including: o access management o system hardening o compliance monitoring o incident handling  Experience with technical project management, coordination of internal/external teams, and vendor management  Solid understanding of mission-critical environments (high availability, redundancy, strict SLAs, technical audits)

Organizational Skills  Ability to structure, document, and optimize operational processes (ITIL is a plus)  Strong capacity to prioritize, manage emergencies, and maintain consistent service levels  Experience in service continuity management, operational resilience, and disaster recovery planning.