Fast Facts

Seeking an experienced DevOps Engineering Manager to lead our cloud platform operations, optimize performance and cost, and drive innovation in automation and developer experience.

Responsibilities: Provide technical direction for DevOps initiatives, lead teams through challenges, manage budget and cloud costs, and implement automation solutions for infrastructure improvements.

Skills: Expertise in Azure cloud, Kubernetes, microservices, CI/CD, Infrastructure as Code, and strong leadership abilities.

Qualifications: Bachelor’s degree in a relevant field and 7+ years of engineering experience including 3+ years in DevOps/SRE management, with a focus on high-traffic SaaS systems.

Location: Located in Alpharetta, GA (Incident IQ North).

Compensation: Not provided by employer. Typical compensation ranges for this position are between $140,000 - $180,000.

DevOps Engineering Manager Overview

We are seeking a highly technical, results-oriented DevOps Engineering Manager to lead and evolve our cloud platform operations at scale. This is not a maintenance role — it’s a leadership position for someone who thrives on solving complex problems, optimizing infrastructure for performance and cost, and leading teams through challenges to deliver measurable progress.

The ideal candidate has deep expertise in Azure cloud, microservice architectures, and DevOps automation at scale, paired with strong people leadership and the ability to make fast, high-quality decisions. This role requires someone who can get into the technical trenches when needed, hold the team accountable to high standards, and drive innovation in automation, reliability, and developer experience.

Technical Leadership & Direction

• Provide strong technical direction across all DevOps initiatives — from infrastructure design to pipeline automation.
• Lead with authority in architecture discussions; drive clarity, make decisive calls, and resolve blockers swiftly.
• Be hands-on when necessary: investigate incidents, review architectures, or design automation solutions yourself.
• Partner with the Architecture team to evolve our Azure-based microservices infrastructure to support billions of monthly requests.
• Maintain deep situational awareness of the platform — knowing what’s running, what’s breaking, and what’s improving.

Team Ownership & Development

• Lead three critical DevOps pods of 2-3 engineers each:

1. SRE / Platform Sustainability
2. CI/CD Innovation & Automation
3. Developer Experience & Internal AI Tooling

Develop and mentor technical leads and engineers, ensuring each pod has a clear mission, measurable goals, and high accountability. Create a culture of urgency, transparency, and continuous improvement. Have the tough conversations early — ensuring accountability and alignment with engineering and business goals. Recruit and develop exceptional talent, growing the team’s technical strength and delivery velocity.

Fiscal & Operational Responsibility

• Own and manage the Azure budget, ensuring cloud spend aligns with business priorities and remains within target.
• Design and enforce cost-efficiency practices in architecture, scaling, and automation.
• Implement proactive cloud spend monitoring and reporting to maintain fiscal visibility and control.

Execution & Delivery

• Deliver automation, pipelines, and infrastructure improvements with velocity — measured in hours or days, not weeks.
• Drive progress through ambiguity and technical constraints; never accept “blocked” as the final answer.
• Push for measurable outcomes: faster deployments, lower downtime, improved cost-to-performance ratios.
• Ensure that platform reliability, observability, and performance continuously evolve with scale.

Innovation & AI-Driven Operations

• Champion the integration of AI and automation in CI/CD, monitoring, and developer workflows.
• Partner with internal AI initiatives to improve system intelligence, predictive monitoring, and developer productivity.
• Stay ahead of emerging DevOps trends to ensure Incident IQ remains at the forefront of modern operations practices.

Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 7+ years of engineering experience, including 3+ years managing high-performing DevOps or SRE teams.
• Deep technical expertise in Azure, Kubernetes, microservice architectures, and distributed systems.
• Proven success operating and scaling high-traffic SaaS systems (billions of monthly requests).
• Mastery of CI/CD systems (Azure DevOps, GitHub Actions, etc.) and Infrastructure as Code (Terraform, Bicep, or equivalent).
• Strong background in observability and performance monitoring (Datadog, Grafana, Azure Monitor).
• Demonstrated ability to lead teams through complex challenges and deliver under pressure.
• History of budget ownership and driving cloud cost optimization initiatives.
• Exceptional communication skills — able to align engineers, executives, and cross-functional stakeholders.

Preferred

• Experience incorporating AI/ML or intelligent automation into operational workflows. 
• Familiarity with GitOps, service mesh architectures, and distributed tracing.
• Background in developer experience platforms or internal tooling.
• Track record of transforming DevOps functions and demonstrating measurable efficiency or reliability gains. 

Technology Stack

• Cloud: Azure, ARM/Bicep, Terraform
• Orchestration: Kubernetes, Docker, Helm
• CI/CD: Azure DevOps, GitHub Actions, Backstage, ArgoCD, Octopus Deploy
• Monitoring: Application Insights,, Grafana, Azure Monitor, Prometheus, ELK
• Languages: C#, PowerShell, Python, Bash
• AI Tooling: Azure AI Services, OpenAI, Copilot Integrations, Claude, Gemini, Cursor