Azure DevOps Engineer

About Applied Business Software, Inc.,

Applied Business Software, Inc., (ABS), the maker of The Mortgage Office®, is the industry leader in private lending and loan management technology. Since 1978, our software has powered thousands of lenders, including private money firms, municipalities, CDFIs, Tribal Nations, universities, franchisors, third-party servicers and other non-bank lenders, helping them streamline, automate, and scale their lending operations with confidence.

We are seeking an Azure Dev Ops Engineer to be the foundational infrastructure hire our AI-powered product platform. This is a high-impact, high-ownership role: you will be the first and primary Dev Ops engineer on the team, building the cloud infrastructure, CI/CD systems, and operational practices that everything else runs on.

This role will focus on designing and operating a reliable, scalable Azure infrastructure that supports our AI and SaaS product development, while establishing the engineering standards and deployment practices that will scale with the team. You will work closely with engineering and product leadership to make thoughtful build‑vs‑buy decisions, own reliability and cost efficiency in production, and ensure our AI workloads on Azure are monitored, observable, and safe to ship.

Cloud Infrastructure

• Own and operate all cloud infrastructure on Microsoft Azure including Compute, networking, IAM, and scaling
• Implement Infrastructure as Code using Terraform, Bicep, or equivalent
• Optimize infrastructure for performance, reliability, and cost efficiency

AI Workloads

• Manage and support AI/ML workloads deployed on Azure, including Azure AI Foundry and related services
• Ensure reliability, scalability, and cost efficiency of AI‑powered systems in production
• Monitor and troubleshoot AI system behavior including latency, failures, and degraded outputs

CI/CD and Release Management

• Design, build, and maintain CI/CD pipelines using Git Hub Actions
• Define and enforce release processes including versioning, build reproducibility, and deployment workflows
• Design deployment strategies including blue‑green, canary, and phased rollouts
• Ensure safe rollback and recovery mechanisms for failed releases

Observability and Incident Response

• Implement observability across systems including logging, metrics, and error tracking using tools such as Sentry, Azure Monitor, and Prometheus
• Set up alerting and incident response workflows using Pager Duty or equivalent
• Participate in on‑call rotations and lead incident resolution

• 5+ years in Dev Ops or infrastructure engineering
• Strong hands‑on experience with Microsoft Azure
• Deep experience with CI/CD systems, Git Hub Actions preferred
• Proven experience operating production systems with real users and uptime requirements
• Experience with Infrastructure as Code using Terraform, Bicep, or similar
• Strong understanding of observability, monitoring, and alerting
• Experience handling production incidents and on‑call rotations
• Proficiency in scripting languages such as Python or Bash

• Experience deploying or supporting AI/ML workloads in production environments
• Experience with Azure AI Foundry or Azure AI services including Azure OpenAI
• Experience managing LLM‑based systems in production with a focus on latency, cost, and reliability

• Comprehensive health, dental, and vision coverage.
• 401(k) with company funded match.
• Mission‑driven company with a 45+ year legacy and industry‑leading products trusted by thousands of lenders.
• Collaborative, supportive team known for long tenure, deep expertise, and a culture built on trust and integrity.
• Help modernize and evolve the leading platform in private lending technology.
• Beautiful Huntington Beach or San Mateo office with a tight‑knit culture.
• Competitive compensation and room for professional growth.
• Performance‑based bonuses.
• Generous PTO.
• Modern workspace with on‑site amenities.
• Awesome company Christmas party.

The pay range for this role is: 130, USD per year (Hybrid, San Mateo, CA)