Cloud Architect - Senior
Our engineers push the envelope to deliver high-availability, self-healing systems that operate in the cloud and on premises. We have multiple customers throughout the region interested in efficient, scalable mission solutions that take full advantage of the latest software engineering approaches. Our architecture, Kubernetes, and DevSecOps experience is unparalleled along the Front Range. We take pride in hiring bright minds that aren’t satisfied with the status quo. Help us build better government systems, one customer at a time! Seed is a family-centered, fun-loving, high-energy, innovative team. Check us out and be a part of the solution!
Due to our customer base, U.S. citizenship is required. Department of Defense TS/SCI security clearance required at time of hire. Applicants selected may be subject to a U.S. Government security investigation and required to meet eligibility requirements for access to classified information.
Location: Colorado Springs, CO with remote work options available
We are seeking a skilled and experienced Cloud Architect to join our team and contribute to the development of an AI/ML platform on the cloud. In this role, you will be responsible for designing, implementing, and optimizing the cloud infrastructure and services required to support our AI/ML platform. You will collaborate with the platform development teams, including data scientists, DevSecOps engineers, and stakeholders, to architect scalable and secure solutions that enable the development and deployment of cutting-edge AI/ML models leading a DevSecOps experience in support of the DoD’s Chief Digital and Artificial Intelligence Office’s (CDAO) mission to democratize AIML capabilities across the department.
- Design and implement cloud architecture for an AI/ML platform, ensuring scalability, reliability, and performance to meet the demands of large-scale data processing and machine learning workloads.
- Collaborate with data scientists and DevSecOps engineers to understand requirements and translate them into scalable cloud-based solutions.
- Select and configure cloud services and tools to support AI/ML workflows, including data storage, data processing, model training, and inference.
- Develop and implement cloud security and governance frameworks, ensuring compliance with industry standards and regulations.
- Optimize cloud infrastructure and services for cost efficiency, performance, and scalability, while ensuring high availability and fault tolerance.
- Monitor and troubleshoot cloud-based systems, proactively identifying and resolving performance issues and security vulnerabilities.
- Collaborate with DevSecOps teams to integrate AI/ML pipelines into CI/CD workflows and automate deployment processes
- Stay up to date with emerging cloud technologies, AI/ML frameworks, and best practices, and recommend their adoption to enhance the platform.
- Collaborate with cross-functional teams to evaluate and integrate third-party tools and services into the AI/ML platform architecture.
- Provide technical guidance and mentorship to team members, fostering their professional growth and development in cloud architecture and AI/ML technologies.
- Proven experience as a Cloud Architect, designing and implementing cloud solutions, preferably in AI/ML platform development.
- Strong understanding of cloud computing concepts and technologies, with hands-on experience in at least one major cloud platform (AWS, Azure, GCP).
- Experience designing and implementing cloud architectures for AI/ML workloads, including distributed computing, data processing, and machine learning frameworks.
- Proficiency in infrastructure-as-code (IaC) tools and frameworks like Terraform, CloudFormation, or Deployment Manager.
- Familiarity with containerization technologies and orchestration frameworks such as Docker and Kubernetes.
- Strong understanding of cloud security principles and best practices, including identity and access management, data encryption, and network security.
- Excellent problem-solving and troubleshooting skills, with the ability to analyze complex systems and recommend effective solutions.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Relevant certifications such as AWS Certified Solutions Architect - Professional or Azure Solutions Architect Expert are a plus.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is desirable
- Nine (9) years of relevant engineering experience with a B.S in Engineering, Science or equivalent degree or 11+ years of experience without a degree
- Benefits Pool: Health, Retirement & PTO/Sick Leave
- Variable compensation also included
- Company-provided STD, LTD and Life
Seed Innovations is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, disability status, or any other basis prohibited by law.