Senior Cloud Architect ML AI

## About the Role The Senior Cloud Architect, ML/AI, plays a pivotal role in DoiT's global Forward Deployment Engineering team. This position is not just about technical expertise but also about being an integral part of a team that drives business growth and innovation for clients worldwide. Day-to-day, you will be working with rapidly growing companies, helping them leverage public cloud services to achieve their goals. Your expertise in GTM strategies, cloud architecture, and ML/AI will be crucial in delivering well-architected and scalable solutions.

Being part of a global team means you'll have the opportunity to collaborate with diverse talent, sharing knowledge and best practices that enhance DoiT's cloud intelligence solutions. Your work will directly impact the success of DoiT's clients, making this role both challenging and rewarding.

The role may align with either Field Engineering, focusing on pre-sales and GTM, or FDE Delivery, concentrating on installation, product adoption, and customer health, ensuring a common technical bar and shared goals across the organization.

## What You Will Do - Design and implement cloud architectures that meet the highest standards of security, scalability, and efficiency.

• Develop and execute GTM strategies that drive the adoption of cloud services among DoiT's clients.
• Collaborate with the sales team to identify and pursue new business opportunities.
• Lead workshops and training sessions to educate clients about the benefits and best practices of cloud services.
• Conduct thorough analyses of clients' current IT infrastructure and cloud usage, providing recommendations for improvement.
• Stay abreast of the latest developments in cloud computing, ML/AI, and related technologies, applying this knowledge to continuously enhance DoiT's services.
• Mentor junior team members, providing technical guidance and support.
• Participate in the development of DoiT Cloud Intelligence, integrating advanced technology with human expertise.
• Engage with key stakeholders to understand their needs and ensure that solutions are tailored to meet those needs.
• Monitor and troubleshoot cloud-related issues, ensuring high uptime and performance.

## What We Are Looking For - Proven experience as a cloud architect, preferably with a focus on ML/AI and GTM.

• Strong background in cloud computing platforms such as AWS, Google Cloud, or Microsoft Azure.
• Experience with Kubernetes, GenAI, CloudOps, or similar technologies.
• Excellent understanding of cloud security, compliance, and governance.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets.
• Experience with Agile development methodologies.
• Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders.
• Willingness to travel for client meetings and workshops, as needed.

## Nice to Have - Experience working in a multicultural, global environment.

• Knowledge of DevOps practices and tools such as Docker, Jenkins, etc.
• Familiarity with IT service management frameworks like ITIL.
• Certification in cloud architecture or a related field.

## Benefits and Perks - Competitive salary package.

• Opportunity to work with cutting-edge cloud technologies and ML/AI solutions.
• Collaborative and dynamic work environment with a global team.
• Professional development opportunities, including training and certification programs.
• Flexible working hours and remote work options.
• Access to the latest tools and technologies.
• Recognition and reward for outstanding performance.
• Comprehensive health insurance and wellness programs.

- Highlight Transferable Skills: Even if you haven't worked with all the specific technologies mentioned, emphasize any relevant experience you have with cloud computing, ML/AI, or GTM strategies.

• Prepare for Technical Questions: Review common cloud architecture interview questions and practice explaining complex concepts in simple terms.
• Showcase Your Passion for Innovation: Demonstrate your enthusiasm for cloud technology and your willingness to learn and adapt to new developments in the field.
• Build a Strong Portfolio: If possible, include examples of cloud architectures you've designed or projects you've led, showcasing your expertise and accomplishments.
• Research DoiT and Its Clients: Understanding the company's mission, values, and the challenges its clients face can help you tailor your application and prepare for interviews.
• Be Ready to Discuss Scalability and Security: These are critical aspects of cloud architecture, so be prepared to answer detailed questions about your approach to ensuring scalable and secure cloud solutions.
• Ask About Growth Opportunities: Showing interest in your potential for growth within the company can leave a positive impression on interviewers.