Program Management R&D (M/F)
Indexed description
Bull is also thousands of engineers, researchers and passionate tech people shaping the future of high-performance computing, AI, and quantum technologies.
Every day, our teams push the boundaries of what is technologically possible – from next-generation HPC architectures to exascale supercomputers – supported by world-class R&D, more than 1,600 patents, and unique end-to-end capabilities spanning hardware design, software engineering, data science and quantum research. We are a people-centric, innovation-driven company, where collaboration spans Europe, the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers.
Mission
Lead a high-performing End-to-End Engineering Group of professionals responsible for the design and development coordination, as well as integration, testing, and delivery of large, complex software systems. This role focuses on ensuring seamless collaboration across all stages of the software development lifecycle (SDLC), from concept to deployment, while maintaining high standards of quality, scalability, and innovation.
Missions of the E2E Engineering team are the following
- Manage system delivery & cross-team coordination
- Drive End-to-End Solution Design & Test Strategy
- Manage integration environments
- Release integration & validation
- System observability & diagnostics
- Failure injection & System resilience testing
- Performance & scalability validation
- Integration tooling & automation
- Strategic Leadership
Drive innovation and technical excellence across the group, ensuring the adoption of modern architectures, tools, and best practices.
Foster a culture of accountability, collaboration, and continuous improvement.
- Team Management
Ensure clear roles, responsibilities, and career paths for team members, promoting skill development and cross-functional collaboration.
Facilitate Agile/DevOps practices to optimize productivity, quality, and time-to-market.
- End-to-End Delivery Ownership
Ensure seamless integration of components, systems, and third-party services, with a focus on scalability, reliability, and security.
Implement robust testing, CI/CD pipelines, and release management processes to minimize risks and maximize efficiency.
- Stakeholder Collaboration
Communicate progress, risks, and dependencies transparently to stakeholders and customers, ensuring alignment and trust.
Advocate for customer-centric solutions, balancing technical feasibility with business value.
- Process and Quality Assurance
Drive automation, monitoring, and observability to ensure system reliability and performance, as well as automated packaging, deployment, updates and upgrades.
Lead post-mortems and retrospectives to identify lessons learned and implement improvements.
- Risk and Resource Management
Optimize resource allocation, including budget, tools, and personnel, to meet project demands.
Ensure compliance with industry regulations, security policies, and internal governance.
Skills And Qualifications
Technical Expertise
Deep understanding of modern software architectures, especially Kubernetes, microservices, cloud-native, event-driven. Embedded software is a plus.
Hands-on experience with programming languages (e.g., Golang, Python, C, Rust), frameworks, DevOps tools and GitOps processes.
Proven track record in delivering large-scale, complex software systems in mass scale industries.
Leadership And Soft Skills
Strong leadership with experience managing large, cross-functional engineering teams.
Excellent communication and stakeholder management skills, with the ability to translate technical details for non-technical audiences.
Problem-solving mindset with a focus on innovation, quality, and customer satisfaction.
Agile/DevOps advocate with experience in Scrum, Kanban, or SAFe methodologies.
Experience
15+ years in software engineering, with at least 10 years in a leadership role (e.g., Engineering Manager, Director of Engineering).
Experience in scaling teams and processes for high-growth organizations.
Background in cloud platforms (e.g., AWS, Azure, GCP) and infrastructure-as-code (e.g., Terraform, Ansible).
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