Cloud Engineer

Job Description:

• Design and implement scalable, secure AWS architectures based on client requirements
• Assess current-state environments and propose effective cloud migration strategies
• Build patterns and frameworks to support repeatable, high-quality delivery
• Lead implementation of AWS services including compute, networking, storage, IAM, databases, and serverless
• Troubleshoot issues during delivery and guide teams in operational best practices
• Ensure performance, reliability, and security across deployed solutions
• Collaborate with stakeholders to gather requirements and validate solution designs
• Act as a trusted advisor on cloud strategy, modernization options, and industry trends
• Translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences
• Mentor team members and contribute to internal learning initiatives
• Develop documentation, reusable assets, templates, and best practices for future projects
• Promote continuous improvement within Solvd’s Cloud Engineering practice

Requirements:

• 5 or more years of experience in cloud architecture and implementation
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• Hands-on experience across AWS services such as EC2, S3, RDS, Lambda, IAM, VPC, and CloudFormation
• AWS professional certifications such as Solutions Architect Professional or DevOps Engineer Professional
• Experience with automation and IaC tools such as Terraform or scripting with Python
• Understanding of security frameworks and compliance requirements including HIPAA or GDPR
• Strong communication skills with the ability to effectively engage both business and technical stakeholders.

Benefits:

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.