What are the responsibilities and job description for the Lead Product Software Engineer- Systems & Storage position at Capgemini Engineering?
About the job you’re considering
Capgemini Engineering is looking for an experienced and innovative Lead Product Software Engineer to architect and develop next generation systems and storage technologies. In this role, you will lead complex technical initiatives, collaborate with global engineering teams, and help shape the future of high availability, scalable, and secure enterprise platforms.
Your Role
As a Lead Product Software Engineer, you will be responsible for driving architectural decisions, delivering production grade system software, and ensuring performance, scalability, and reliability across storage and distributed systems. Your work will have a direct impact on the digital transformation of our enterprise clients.
In this role, you will:
- Architect, lead, and develop modules for distributed file systems, authentication, and file sharing protocols including SMB, NFS, OBJ, and AD/LDAP.
- Design and implement high availability and disaster recovery solutions such as PowerHA SystemMirror and VM Recovery Manager.
- Collaborate with Cross functional teams—including RedHat, opensource communities, and global stakeholders—to deliver secure, scalable system features.
- Develop and debug performance critical modules in C/C for storage, networking, and clustered systems.
- Support OpenStack cluster upgrades, automate DevOps pipelines, and enable CI/CD improvements across environments.
- Lead customer demos, technical reviews, root cause investigations, and technical mentoring of junior engineers.
Your Skills and Experience
We are looking for an engineering leader with exceptional technical depth and a passion for technical excellence.
You’ll succeed in this role if you have:
- 15 years of experience in system programming, storage engineering, Linux internals, and cloud technologies.
- Expertise in C, C , Python, Shell scripting, and DevOps tools including Ansible and YAML.
- Strong knowledge of file systems (e.g., GPFS), distributed systems, authentication protocols, and clustered architectures.
- Handson experience with OpenStack, virtualization, debugging tools (GDB/DBX), and network technologies.
- Certifications in technologies such as Puppet, Git, Docker, Blockchain, Scrum, SDN Architecture, IBM Cloud, or Golang (preferred).