DevOps Engineer

Exostar•Cincinnati, OH

5d•Hybrid

About The Position

We’re looking for an infrastructure engineer who builds and ships. This is not a role for someone who hands off design documents or lives only in architecture diagrams. You’ll support production infrastructure across AWS, Azure, and on-prem environments, troubleshoot real issues, optimize underperforming systems, and automate work so teams can move faster. Deep infrastructure expertise comes first. We encourage engineers to leverage AI-assisted engineering tools to accelerate infrastructure development, automation, troubleshooting, and documentation. Experience with Claude Code, GitHub Copilot, Cursor, or similar tools is beneficial, but infrastructure expertise and operational problem-solving are the primary qualifications for success. This is a hands-on engineering role. Expect approximately 80% of your time to be spent building, automating, troubleshooting, and improving infrastructure across AWS, Azure, and on-prem environments, with limited meeting overhead.

Requirements

5+ years hands-on infrastructure experience across cloud and/or on-prem environments (AWS, Azure, or hybrid)
Strong SQL Server / Azure SQL / AWS RDS skills: query optimization, index tuning, execution plans, stored procedures
Strong Terraform and/or CloudFormation experience: modules, workspaces, remote state, provider configuration
Strong PowerShell: Azure modules, SQL Server modules, REST API calls, error handling, module development
Windows Server administration: operational and administration experience in cloud and hybrid environments
AWS and Azure networking depth: VPCs, Direct Connect, VNets, peering, Private Link, DNS, NSGs, routing, hybrid connectivity
Experience with or openness to AI-assisted engineering tools (Claude Code, Copilot, Cursor) to improve speed and quality
Git workflows: branching strategies, PR reviews, merge conflict resolution
Experience with FedRAMP, CMMC, or similar compliance frameworks
Comfortable debugging production issues under pressure—databases, networking, or infrastructure
Due to customer requirements, U.S. Citizenship is required. Ability to gain and maintain Trusted Role is required.

Nice To Haves

Azure certifications (AZ-104, AZ-305, AZ-500, DP-300)
Experience with database migrations, version control for schema changes (Flyway, Liquibase, or similar)
Bicep experience in addition to Terraform
GitHub Actions or Azure DevOps pipeline development
Python scripting for automation and tooling
Experience with Azure PIM, Conditional Access, and identity governance
Container platforms: AKS, Container Apps, Docker
Background in defense, aerospace, or highly regulated industries

Responsibilities

Infrastructure-as-code solutions supporting AWS, Azure, and on-prem environments using Terraform and/or CloudFormation—networking, compute, storage, identity, databases, monitoring
AI-assisted Terraform module generation with automated testing, documentation, and compliance validation
State management patterns for multi-environment deployments (dev/QA/staging/prod) with proper isolation
Drift detection and remediation automation—catch what changed and fix it before it becomes an incident
Support SQL Server, Azure SQL, MySQL, and AWS RDS performance—query optimization, index strategies, execution plan analysis
Zero/Minimal- downtime database migrations with automated rollback strategies.
Stored procedure optimization and refactoring with proper error handling and logging
Automated maintenance: index rebuilds, statistics updates, consistency checks, backup validation
Query Store analysis and AI-assisted performance troubleshooting
Hub-and-spoke and VPC architectures with proper segmentation for FedRAMP and compliance boundaries (AWS and Azure)
Private Link configurations, DNS forwarding, and service endpoint strategies
AWS Direct Connect and Azure ExpressRoute, VPN connectivity for hybrid scenarios
Azure Firewall and NSG policies with AI-assisted rule generation and audit
ZScaler integration and troubleshooting for secure internet egress
PowerShell modules for Azure resource management, database operations, reporting, and remediation
Bash scripts for Linux workloads and CI/CD pipeline integration
Python utilities for API integrations, data processing, and custom tooling
AI-assisted script generation with proper error handling, logging, and testing
Azure Monitor, Log Analytics, and Application Insights configurations
Database and infrastructure alerting that's actionable, not noise
Runbooks and automation for common remediation tasks
Cost analysis and optimization—Reserved Instances, right-sizing, orphaned resources