Application Guide
How to Apply for Lead Engineer - Cloud & Gen AI
at Iberdrola
🏢 About Iberdrola
Iberdrola is a global leader in clean energy, driving America's transition to sustainable power with a strong commitment to ethical practices. Working here means contributing to a mission-driven company that values innovation, environmental stewardship, and employee growth, backed by competitive benefits and a 12% 401(k) match.
About This Role
As the Lead Engineer for Cloud & Gen AI, you will design and manage scalable cloud infrastructure on AWS and Azure to support Generative AI applications. You'll collaborate with data scientists to deploy and optimize AI models, ensuring security and performance while automating infrastructure with Terraform. This role is pivotal in integrating cutting-edge AI into Iberdrola's clean energy operations.
💡 A Day in the Life
A typical day might start with a stand-up meeting with data scientists to discuss model deployment needs, followed by designing Terraform modules to spin up GPU clusters for training. After lunch, you might troubleshoot a performance issue with an AI inference endpoint, then collaborate with the security team to ensure compliance. The afternoon could involve documenting architecture and planning next sprint's infrastructure improvements.
🚀 Application Tools
🎯 Who Iberdrola Is Looking For
- Expert in AWS and Azure cloud services, with hands-on experience in designing and managing scalable infrastructure for AI/ML workloads.
- Proficient in Infrastructure as Code (IaC) using Terraform, and skilled in automating deployment pipelines for AI models.
- Strong collaborator with data scientists and AI researchers, able to translate model requirements into production-ready cloud solutions.
- Experience in security and compliance for cloud-based AI systems, with knowledge of best practices for data privacy and model governance.
📝 Tips for Applying to Iberdrola
Highlight specific projects where you deployed and optimized Generative AI models on AWS or Azure, including metrics on performance or cost savings.
Showcase your Terraform expertise by describing complex infrastructure automation you've built, especially for AI/ML pipelines.
Tailor your resume to emphasize experience with clean energy or sustainability initiatives, even if tangential, to align with Iberdrola's mission.
Include a brief note in your cover letter about your passion for renewable energy and how AI can accelerate the clean energy transition.
Research Iberdrola's recent AI initiatives (e.g., smart grid optimization) and mention how your skills could contribute to similar projects.
✉️ What to Emphasize in Your Cover Letter
['Your technical expertise in cloud infrastructure (AWS/Azure) and IaC (Terraform) for AI workloads.', 'Your ability to collaborate cross-functionally with data science teams to productionize AI models.', "Your alignment with Iberdrola's mission of clean energy and how you see AI driving that mission forward.", 'Specific examples of leading cloud-AI projects that resulted in measurable improvements in efficiency or scalability.']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Explore Iberdrola's sustainability reports and recent press releases on AI and digital transformation in energy.
- → Review Avangrid (Iberdrola's US subsidiary) career page for insights into company culture and employee benefits.
- → Look into Iberdrola's use of AI in renewable energy forecasting, grid management, or customer engagement.
- → Understand the regulatory landscape for AI in the energy sector, especially regarding data privacy and reliability.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Focusing only on AI model building without emphasizing cloud infrastructure and DevOps skills.
- Ignoring the company's clean energy mission; failing to connect your work to sustainability can seem out of touch.
- Omitting details on security, compliance, or cost management in cloud-AI deployments, as these are critical for production systems.
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!