Director of Platform Engineering

MMG is modernizing the technology backbone behind our insurance platforms, digital experiences, and data. We're looking for a Director of Platform Engineering to lead the infrastructure, cloud, DevOps, and reliability capabilities that enable our technology teams to build, deploy, and operate with speed and confidence across a hybrid environment running Microsoft Azure alongside on-premises infrastructure. You'll also help shape how governed, agentic AI is safely integrated into our workflows with real production impact and appropriate controls.

About the role

You'll lead a team of about five infrastructure and platform engineers, report to the CIO, and collaborate with Product Engineering, Cybersecurity, Data, and Delivery leadership. This hybrid role requires regular in-person presence at an MMG office in Portsmouth, NH or Presque Isle, ME, with travel to Presque Isle and other MMG or partner locations. After-hours availability is required for major incidents and critical releases. The successful candidate must reside in Maine, Massachusetts, or New Hampshire.

Responsibilities

• Own DevOps and delivery platforms: CI/CD, infrastructure as code, environment automation, deployment patterns, release tooling, and self-service paths from source control to production
• Manage cloud and infrastructure: Microsoft Azure foundations, on-prem compute and storage, virtualization, networking, identity, backup, recovery, and cost transparency
• Oversee reliability and operations: monitoring, observability, incident response, disaster recovery, and eliminating recurring failures
• Implement governed agentic AI: approved model and tool access, secure agent execution, identity and permissions, cost controls, and human approval points for agent-assisted engineering, testing, incident response, and operations
• Lead and develop your team, set engineering standards, and hold infrastructure, cloud, and AI vendors accountable

First-year priorities

• Build an authoritative DevOps and platform roadmap covering CI/CD, infrastructure as code, environment automation, and observability
• Stand up a governed agentic AI roadmap, from reference patterns and access controls through staged production adoption
• Fix the most significant environment, deployment, backup, and reliability problems affecting critical services
• Reduce manual, ticket-driven work and recurring infrastructure incidents
• Assess and strengthen the platform team's structure, skills, and documentation

Requirements

• Experience leading a material DevOps improvement across infrastructure and software-delivery teams, including CI/CD, infrastructure as code, environment automation, observability, release engineering, developer self-service, and production operating models
• Ability to design and operate internal platform capabilities that increase team autonomy while preserving security, reliability, consistency, and accountability
• Experience evaluating and implementing governed agentic AI capabilities for technology operations and translating governance requirements into practical architecture, permissions, telemetry, evaluation, human oversight, and operating controls
• Experience leading and operating hybrid infrastructure spanning public cloud and on-premises environments, with strong practical knowledge of Microsoft Azure and Microsoft infrastructure technologies
• Ability to diagnose complex failures across cloud, network, compute, storage, identity, operating systems, delivery pipelines, application hosting, observability, vendor services, and recovery layers
• Experience establishing reliable shared services, release platforms, environments, monitoring, backup, restoration, failover, and disaster-recovery capabilities
• Ability to make sound technical and economic trade-offs involving reliability, security, cost, delivery speed, maintainability, standardization, and team autonomy
• Proven leadership of small technical teams through coaching, prioritization, performance management, direct involvement, and clear accountability
• Ability to communicate platform risk, DevOps constraints, operational impacts, vendor dependencies, agentic AI controls, options, and investment needs to nontechnical leaders
• Experience leading effectively through modernization, organizational change, constrained capacity, technical debt, and uncertainty

Good to know

MMG runs a predominantly Microsoft technology estate, including Majesco, Guidewire InsuranceNow, IBM i, Databricks, and Power BI, alongside emerging AI and agent-orchestration tools. While hands-on experience with every platform isn't required, you should have the judgment to apply solid platform-engineering and DevOps principles to whatever you encounter.

Pay

The anticipated annual salary range for this position is $164,000 – $208,000. This position may be filled at different levels depending on the candidate's experience and qualifications, with final title, level, and compensation determined based on qualifications, experience, skills, and overall fit for the role. Compensation decisions are made in alignment with internal equity and market considerations.