Infrastructure & Platform Operations Engineer

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities.

As a SR Infrastructure Engineer, you will use cutting edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions. Work on exciting projects, future-proof your skills, and grow into your dream job alongside some of the most talented, knowledgeable, and dedicated technologists in the industry.

- Design Infrastructure Architecture and Solution Application Architecture working with Platform Design & Engineering, InfoSec, CTOE, Enterprise Architecture, and Solution Architecture.

- Deploy and manage Azure Kubernetes Service (AKS) clusters for containerized apps like the GenAI API with full DCE Platform 1.0 tooling parity and support for GPU workloads.

- Extend current architecture to support regional disaster recovery and zonal high availability.

- Implement a multi-region AI Landing Zone with failover using DNS and App Gateway.

- Monitor infrastructure health and troubleshoot AKS, OpenAI, and database issues.

- Integrate new technologies into the AILZ such as AI Foundry Agents, MCP servers, Document Intelligence, and Cosmos DB.- Automate AI Foundry deployment with private VNet injection, inbound NSG rules, EntraID groups for identity based access and documentation for team onboarding.

- Mature AI Search promotion process with dedicated Search services per-team for R&D, an index creation pipeline and a data copy pipeline for chunks.

- Resolve DNS, firewall and NSG connectivity issues for users, AKS workloads and Azure resources (Ex. Foundry Agent connections to Search indexes, AKS pod connections to Azure Storage, user connections to App Gateway)

- Onboard new Machine Learning and GenAI teams by creating Terraform Cloud workspaces, Databricks Workspaces, AI Foundry Projects, Azure Search instances, AKS namespaces, Key Vaults, workload identities, Data Factories, Data Lakes and database servers as needed. Ex. Research teams looking to take advantage of Databricks.

- Guide new workloads from experimentation to production deployment by evangelizing Enterprise Architecture archtypes, IaC best practices, zero-trust network security and robust data security.

(Outline center of excellence, support best practices)

This posting is part of our ongoing talent pipeline initiative. While there may not be an immediate opening, we are actively building a network of qualified candidates for future opportunities. If you're interested in being considered when a role becomes available, we encourage you to submit your resume.

• This is a remote position with occasional travel (if needed)

• Advanced Terraform

• ARM templates

• Azure DevOps Pipelines

• GitOps

• Kubernetes administration

• Network debugging

• Knowledge of AI offerings in azure + understanding of Databricks

• Excellent written / oral communication (creating documentation / gathering requirements)

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.