Senior Solutions Architect

About the Role

The role involves working closely with client stakeholders to understand their business and technical objectives, designing cloud architectures across AWS, Azure, or GCP, and translating complex technical challenges into clear solution roadmaps. You will also lead cloud cost optimization initiatives, analyze usage patterns and architecture design, and implement governance and automation frameworks to ensure ongoing cost efficiency.

As a Senior Solutions Architect at Virtasant, you will be part of a global team of technology professionals who share a passion for designing, migrating, and operating cloud platforms at scale. You will have the opportunity to work with a diverse range of clients, from small startups to large enterprises, and contribute to the development of innovative cloud solutions that drive business growth and transformation.

What You Will Do

• Design and optimize large-scale cloud environments for clients across various industries
• Lead technical strategy for complex transformation programs, including cloud migrations and platform redesign
• Develop and implement cloud architectures that meet clients' business and technical requirements
• Analyze usage patterns, architecture design, and infrastructure configuration to reduce waste and optimize costs
• Implement governance and automation frameworks to ensure ongoing cost efficiency
• Guide engineering teams on architecture patterns, infrastructure design, and delivery practices
• Ensure solutions are secure, scalable, and aligned with best practices
• Communicate technical concepts clearly to both technical and non-technical audiences
• Partner with senior stakeholders, including engineering leaders and executives, to identify new opportunities and drive long-term technical transformation strategies
• Mentor engineers and junior architects, sharing knowledge and establishing internal best practices across engagements

What We Are Looking For

• At least 7+ years of experience working with public cloud platforms, including AWS, Azure, or GCP
• Proven track record of designing and optimizing large-scale cloud environments
• Strong problem-solving ability, with experience articulating complex technical challenges and solutions
• Comfort with ambiguity and ability to thrive in fast-moving environments
• Hands-on technical capability, with experience implementing solutions and troubleshooting issues
• Client-facing confidence, with ability to communicate effectively with both technical teams and senior stakeholders
• Experience with cloud cost optimization, including analysis of usage patterns and implementation of governance and automation frameworks
• Strong understanding of cloud security, compliance, and governance principles
• Experience with agile development methodologies and version control systems, such as Git

Nice to Have

• Experience with AI-first workflow and integration of AI capabilities into cloud architectures
• Knowledge of containerization technologies, such as Docker, and orchestration tools, such as Kubernetes
• Familiarity with cloud-based machine learning and data analytics platforms
• Experience with DevOps practices and tools, such as Jenkins, GitLab, or CircleCI

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a global client base and contribute to innovative cloud solutions
• Collaborative and dynamic work environment with a team of experienced technology professionals
• Professional development opportunities, including training and certification programs
• Flexible working hours and remote work arrangements
• Access to cutting-edge technologies and tools
• Recognition and reward for outstanding performance and contributions to the company's success

• Develop a strong understanding of cloud architecture, migration, and optimization principles, and be prepared to provide examples of your experience in these areas.
• Highlight your ability to communicate complex technical concepts to both technical and non-technical audiences, and provide examples of your experience in client-facing roles.
• Be prepared to discuss your experience with AI-first workflow and integration of AI capabilities into cloud architectures.
• Make sure to research the company and the role, and be prepared to ask informed questions during the interview process.
• Consider creating a portfolio of your work, including examples of cloud architectures you have designed and optimized, and any relevant certifications or training programs you have completed.
• Be prepared to negotiate your salary and benefits package, and consider factors such as flexible working hours and remote work arrangements.
• Look for red flags, such as unclear expectations or lack of communication, and be prepared to ask about company culture and values during the interview process.