Delivery Lead Cloud Infrastructure
Delivery Lead Cloud Infrastructure
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
As the Delivery Manager for our Cloud Infrastructure domain you will oversee the end-to-end delivery of complex projects and solutions in IaaS/PaaS environments with a specific emphasis on AI/GPU/CPU-based cloud offerings. You will collaborate with engineering product management and key stakeholders to ensure on-time high-quality deliverables while optimizing costs mitigating risks and delighting customers. This is a senior role requiring a deep understanding of cloud computing infrastructure provisioning high-performance GPU workloads and customer-centric delivery methodologies.
2. Key Responsibilities
1. Program / Project Management
o Plan and execute multiple Multi Geographies /Multi Time Zone concurrent infrastructure delivery projects (including GPU-enabled compute solutions HPC clusters etc.) from concept to production.
o Manage cross-functional dependencies and ensure smooth coordination between internal teams (Engineering Product DevOps etc.).
2. Stakeholder & Customer Engagement
o Act as the primary point of contact for internal/external stakeholders (e.g. enterprise clients CSPs or partner vendors) throughout the delivery lifecycle.
3. Delivery Governance & Process Optimization
o Establish and maintain best practices in agile or hybrid project management frameworks tailored to deep-tech product needs.
o Drive continuous improvement in delivery methodology deploying metrics dashboards (e.g. cost performance velocity) and lessons learned.
o Ensure compliance with company policies security standards and relevant industry regulations.
4. Risk & Issue Management
o Proactively identify log and track potential risks and issues that may impact delivery timelines or quality (e.g. GPU availability supply chain constraints technical complexities).
o Develop and implement risk mitigation/contingency plans in collaboration with technical leads and product owners.
5. Team Leadership & Collaboration
o Guide and mentor project coordinators or scrum masters fostering a culture of collaboration ownership and accountability.
o Partner with engineering leads (AI/ML HPC GPU specialists) to ensure feasible solutions and stable releases..
6. Quality & Service Assurance
o Coordinate with the QA SRE or DevOps teams to embed reliability scalability and performance checks particularly for GPU-intensive workloads.
o Validate that final deliverables meet or exceed customer expectations and SLA requirements (e.g. high availability peak GPU throughput).
3. Qualifications & Skills
1. Education & Experience
o Bachelor s or Master s degree in Computer Science Engineering or a related field (MBA a plus).
o 8 years of overall experience in Project Deliveries/program management within tech environments with 3 years in cloud infrastructure or HPC/AI projects.
2. Domain Expertise
o Solid understanding of cloud platforms (AWS Azure GCP) and IaaS/PaaS concepts.
o Experience with GPU-accelerated computing (e.g. NVIDIA GPUs HPC clusters) and AI/ML workloads is highly desirable.
3. Project Management Mastery
o Proven track record of leading cross-functional teams to deliver complex infrastructure or software solutions on time and within budget.
o Familiarity with Agile (Scrum/Kanban) frameworks plus knowledge of Waterfall/Hybrid models for certain enterprise or hardware-driven projects.
o Ability to set up robust governance processes track project metrics and escalate effectively.
4. Leadership & Communication
o Demonstrated ability to manage diverse teams (engineering product QA operations) and build strong relationships with internal and external stakeholders.
o Strong negotiation conflict resolution and stakeholder management skills.
5. Analytical & Problem-Solving
o Capable of dissecting intricate delivery challenges (e.g. GPU supply constraints performance bottlenecks in HPC multi-cloud integration) and formulating actionable solutions.
problem-solving,paas,cloud,cloud computing,agile (scrum/kanban),risk management,gpu-accelerated computing,quality assurance,communication,team leadership,infrastructure,stakeholder management,analytical skills,iaas,ai/gpu/cpu-based cloud offerings,hpc,project,project management
Employment Type
Full Time
