Cloud Solution Architect

Summary

Join Vosyn, a pre-seed AI startup, as a Senior Cloud Solution Architect SME. This fully remote, contract position (10-15 hours/week) offers the opportunity to mentor technical teams, guide cloud migration and optimization strategies, and contribute to the development of real-time, low-latency applications. You will leverage your expertise in cloud-native architectures, microservices, and Kubernetes to shape our cloud infrastructure. The role requires significant experience in cloud architecture and a deep understanding of cloud technologies. Vosyn offers a flexible, remote-first work environment and the chance to be part of a dynamic, growing organization.

Requirements

• 7+ years of proven experience in cloud architecture, solution design, and operation
• Strong proficiency in major cloud platforms (AWS, Azure, Google Cloud Platform)
• In-depth understanding of cloud-native architectures, microservices, and serverless computing
• Hands-on expertise in Kubernetes for deploying and scaling containerized applications
• Proven experience in designing and operating real-time services with low latency requirements
• Expertise in CI/CD pipelines and infrastructure automation tools (Terraform, CloudFormation)
• Experience implementing cloud security best practices and ensuring compliance
• Hands-on expertise in cloud performance tuning and cost optimization strategies
• Demonstrated success in providing technical leadership
• Excellent communication and problem-solving skills

Responsibilities

• Guide the team in evaluating and selecting appropriate cloud platforms and services, with a focus on solutions supporting real-time applications and low latency
• Provide expert-level mentorship on cloud architecture design, implementation, and operation of scalable and resilient systems
• Lead strategic decisions on cloud-native design patterns, microservices architectures, serverless computing, and container orchestration
• Guide the implementation and management of Kubernetes clusters for containerized applications
• Share expertise in designing, developing, and operating real-time services with minimal response times
• Offer guidance on implementing cloud-based security solutions and compliance frameworks
• Provide leadership in multi-cloud and hybrid cloud environment design
• Evaluate and advise on technologies for building high-throughput, low-latency real-time data pipelines

Preferred Qualifications

• Experience with gRPC and event streaming platforms (Kafka, Apache Pulsar)
• Multi-cloud environment management expertise
• Background in AI/ML infrastructure deployment
• Experience mentoring technical teams
• Certifications from major cloud providers

Benefits

• Remote-first culture with flexible working arrangements
• Be part of the invigorating journey of a pre-seed AI startup in stealth mode
• Engage directly with senior management and strategic advisory board members
• Gain valuable experience in the bleeding-edge AI space