Lead Product Software Engineer - Cloud Ops (AI)

TL;DR

Lead Product Software Engineer (Cloud Ops): Owning and optimizing infrastructure foundations for AI products by designing cloud architecture, delivering Terraform-managed environments, and building product and operational health reporting. Focus on designing and implementing Azure resource architectures at scale, establishing alerting strategies, and embedding infrastructure best practices into the development workflow.

Location: Hybrid (8 days/month) in USA - Coppell, TX. Applicants may be required to appear onsite at a hirify.global office.

Salary: $116,400.00 - $204,100.00 USD

Company

InnovateHub is a startup-within-the-enterprise at hirify.global, co-designing AI solutions with customers across the Tax and Accounting product portfolio.

What you will do

• Own Terraform delivery for InnovateHub’s Azure environments, authoring and maintaining secure and compliant infrastructure-as-code modules.
• Collaborate with Infrastructure Operations, Architecture, and Product teams to design and evolve cloud infrastructure, implementing Azure resource architectures for AI products at scale.
• Build and own product and operational health dashboards using Azure Monitor, Application Insights, and Log Analytics.
• Define and track SLIs/SLOs, establish alerting strategies, and translate telemetry data into actionable insights for product decisions and operational improvements.
• Serve as the go-to cloud operations resource for developers, providing guidance, reusable templates, and hands-on consultation.
• Act as the liaison between InnovateHub and enterprise Infrastructure Operations and Architecture teams, ensuring coordinated cloud decisions and knowledge flow.

Requirements

• 5+ years building and operating cloud infrastructure (Azure strongly preferred).
• 2+ years hands-on experience with Terraform (or equivalent IaC tools) in production environments.
• Strong proficiency with Azure PaaS services: App Services, Functions, Cosmos DB, Key Vault, Virtual Networks, Application Gateway, and Azure AI Services.
• Deep experience with Azure Monitor, Application Insights, Log Analytics, and KQL for observability and health reporting.
• Experience with CI/CD pipelines (Azure DevOps, GitHub Actions) including infrastructure deployment automation.
• 3+ years leading infrastructure or platform engineering initiatives from design through production operation.
• Working knowledge of infrastructure security practices: network segmentation, managed identities, RBAC, secrets management, and compliance controls (SOC 2, IRS 7216 a plus).
• Ability to explain infrastructure concepts to product-focused developers and non-technical stakeholders.
• Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar) and regular use of GenAI utilities for development workflow.

Nice to have

• Microsoft Azure AZ-104 (Azure Administrator) or AZ-305 (Azure Solutions Architect) certification (AI-102 also a plus).
• Experience with Azure Landing Zones, hub-spoke network topologies, or enterprise-scale Azure architectures.
• Background in regulated or compliance-driven environments, particularly financial services or tax/accounting software.
• Experience with containerization (Docker, AKS) and service mesh patterns.
• Familiarity with AI/ML infrastructure needs: model serving, vector database operations, and RAG system infrastructure.
• Experience with platform engineering, developer experience (DevEx) tooling, or internal developer platforms.

Culture & Benefits

• Operates with Agile and XP methodologies including weekly sprints, BDD/TDD practices, and pair programming with daily rotation.
• Committed to core values: Focus on Customer Success, Make it Better, Aim High and Deliver, and Win as a Team.
• Offers a wide variety of competitive benefits and programs including Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave.

Hiring process

• Candidates are required to participate in interviews without the assistance of AI tools or external prompts.
• Removal of virtual backgrounds is requested during interviews.
• In-person interviews are included in the hiring process.