Cloud DevOps Engineer, Data & Analytics
About The Position
We are hiring a Cloud DevOps Engineer to support a growing portfolio of AI development teams. This is a hands-on, task-based role at the intersection of software engineering, cloud infrastructure, and security. You will partner directly with development teams to identify the right cloud resources to host their solutions, script and provision that infrastructure as code, and deploy it reliably across the full software development lifecycle. The ideal candidate is equally comfortable reading application architecture, writing Terraform, scripting automation, and reasoning about networking and security. You are not just maintaining pipelines — you are enabling multiple teams to ship AI products safely and quickly across AWS and Azure.
Requirements
- AWS experience at enterprise scale — designing and operating cloud resources in a production environment.
- Terraform and a strong grasp of infrastructure-as-code practices.
- Proficiency in Python and Bash scripting.
- Hands-on experience with GitHub and GitHub Actions.
- Strong understanding of networking concepts and communication between cloud-based services.
- Experience with security management for deployed cloud services.
- Understanding of disaster recovery processes for cloud-based services (backup, failover, and restoration).
- Demonstrated experience releasing software products through multiple SDLC environments (isolated, testing, and production).
Nice To Haves
- Hands-on experience with Microsoft Azure alongside AWS.
- Experience supporting AI/ML workloads or data-intensive applications.
- Familiarity with using AI tools (e.g., coding assistants, agents) to automate engineering and operational processes.
- Ability to read and reason about application architecture to advise development teams on hosting and deployment decisions.
- Database experience across PostgreSQL, Snowflake, and NoSQL databases.
Responsibilities
- Partner with AI development teams to identify, size, and design the cloud resources needed to host their solutions.
- Author and maintain Terraform modules and configurations to provision infrastructure as code across AWS and Azure.
- Build and maintain GitHub Actions workflows to automate build, test, and deployment across isolated, testing, and production environments.
- Manage software releases through multiple SDLC environments, including GitHub and cloud-based environments for isolated releases, testing, and production.
- Write scripts and tooling (Python, Bash) to automate repetitive operational work, and leverage AI tools to accelerate that automation.
- Collaborate with the security team to identify threats to deployed cloud services and drive them to resolution.
- Contribute hands-on engineering: read and understand architecture, write code, and improve the developer experience for the teams you support.
- Travel to client site as needed
Benefits
- bonus
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
