Principal, AI Operations & Infrastructure Automation

Koitecc Solutions; Boston (MA); On-site; USD 139,000 - 240,000; Full time

Benefits offered by this job

15 vacation days (prorated)

12 company-paid holidays

6 paid sick days

Medical, dental, and vision coverage

401(k) company match

Company-paid life insurance

Company-paid parental leave

Job summary

IDC in Boston is seeking a Principal of AI Operations & Infrastructure Automation to lead a modernization of how IDC runs its infrastructure. The role is hands-on and high-velocity, requiring deep experience building AIOps and infrastructure-as-code capabilities while guiding a growing team.

You will partner with the CIO and AWS to re-architect workflows, establish new operating models, and deliver self-healing automation, predictive capacity, and robust security/compliance practices across the

Qualifications

• 8+ years in infrastructure, platform engineering, or IT operations.
• 3+ years leading automation or AIOps initiatives.
• Experience redesigning operations around automation, not just adding tools.
• Hands-on cloud automation (AWS preferred) and IaC (Terraform/CloudFormation).
• Proficiency in Python and building REST API integrations.
• Strong observability experience with Datadog, Splunk, Dynatrace, or similar.
• Proven leadership and executive communication abilities.

Responsibilities

• Redesign infrastructure operating model end-to-end to automated pipelines.
• Define a phased transformation roadmap with milestones and go-live gates.
• Lead change management, defining new roles and ways of working.
• Build the AIOps layer with anomaly detection and automated remediation.
• Stand up LLM-assisted triage for incident routing and runbook access.
• Develop predictive capacity models for critical services.
• Champion IaC standards and version-controlled automation.
• Deliver self-healing automation and end-to-end service-request automation.
• Own CI/CD pipelines for operational tooling with safe rollback.
• Lead and develop a team of infra and automation engineers.

Skills

AIOps

Automation leadership

AWS

IaC (Terraform/CloudFormation)

CI/CD pipelines

Python scripting

Observability tooling

Team leadership

Executive communication

Tools

Terraform

CloudFormation

Datadog

Splunk

Dynatrace

New Relic

Prometheus/Grafana

Jira Service Management

Bedrock/AgentCore tooling

Job description

IDC

Principal, AI Operations & Infrastructure Automation

US-MA-Boston

Job ID: 2026-7085

# of Openings: 1

Category: IT/Technology

Overview

About the Role & Team

IDC is the premier global provider of market intelligence, advisory services, and events for the technology markets. For more than 60 years, we've helped technology suppliers, buyers, and investors make the right decisions with evidence, not guesswork. Our analysts turn data into the clarity our clients need to navigate their next move with confidence. That standard applies internally too. The infrastructure our analysts, sales teams, and clients depend on has to be fast, reliable, and quietly excellent - at a scale manual operations can no longer reach.

What You'll Do

IDC is modernizing how infrastructure is run - shifting from manual, ticket-driven operations to an automated, AI-informed model that keeps pace with the speed of the business. We're looking for a Principal of AI Operations & Infrastructure Automation to lead this transformation: designing and standing up the automation, tooling, and operating model that will define how IDC's infrastructure team works going forward. This is a hands-on, high-velocity leadership role for someone who has actually built AIOps and infrastructure-as-code capability before - not just overseen it.

You'll personally write and review automation, get into the tooling directly, and lead by example for the team you manage. You'll partner closely with the CIO, Cyber & Infrastructure leadership, and AWS as a strategic cloud and co-development partner to re-architect how infrastructure operations get done. This role builds and leads the team responsible for automation - setting technical direction, reviewing their work, and growing their skills as the operating model evolves. Additional responsibilities include:

• Own the end-to-end redesign of the infrastructure operating model, moving core workflows (provisioning, monitoring, incident response, patching, capacity management) from manual execution to automated, self-healing pipelines.
• Define a phased transformation roadmap with clear milestones, automation-coverage targets, and go-live gates - and drive execution against it at pace.
• Lead change management for the infrastructure team through the transition - defining new roles, skills, and ways of working as automation is adopted.
• Build the AIOps layer; evaluate, select, and deploy AIOps platforms and agentic tooling - anomaly detection, predictive alerting, automated remediation - suited to IDC's AWS-centric environment. Implement event correlation and noise reduction so a hundred alerts resolve into one actionable incident with a probable root cause attached.
• Stand up LLM (large language model)-assisted triage that classifies, enriches, and routes incidents, pulling relevant runbooks, past resolutions, and change history into the ticket automatically.
• Develop predictive capacity and failure models for critical services, and act on them before thresholds are breached.
• Automate end to end, build and champion an infrastructure-as-code (IaC) standard across the organization, converting legacy manual processes into version-controlled, repeatable automation.
• Deliver self-healing automation and closed-loop remediation for the highest-volume recurring incidents - restart, rollback, scale, reroute, and verify without a human in the loop. Automate service request fulfillment: access provisioning, environment setup, onboarding and offboarding, and routine change execution.
• Own CI/CD (continuous integration/continuous delivery-deployment) pipelines for operational tooling, including testing and safe rollback for automations that touch production.
• Lead the team and prove the results Directly manage and develop a team of infrastructure and automation engineers - hiring, coaching, and setting technical direction - while staying hands-on in the tooling and code yourself.
• Partner with AWS and other strategic vendors to pilot and scale automation and AI-driven operations capabilities, including Bedrock/AgentCore-based tooling where relevant.
• Establish new operational KPIs - automation coverage, mean time to detect and resolve, deployment frequency, toil eliminated - and report progress in concise, executive-ready formats.
• Set guardrails for AI in operations: human-in-the-loop thresholds, blast-radius limits, audit logging, evaluation of model output quality, and clear rollback paths.
• Ensure automated operations meet IDC's security, compliance, and resiliency standards, working closely with Cyber & Compliance.

What You Bring

Required

• 8+ years in infrastructure, platform engineering, or IT operations, including 3+ years leading automation or AIOps initiatives.
• Demonstrated track record of redesigning an operations function around automation - not just introducing point tools but changing how a team works.
• Deep hands-on experience with cloud infrastructure automation (AWS strongly preferred), infrastructure-as-code (Terraform, CloudFormation, or similar), and CI/CD pipelines.
• Working knowledge of AIOps and agentic automation platforms, and a clear point of view on where AI genuinely improves operational outcomes versus adds noise.
• Practical automation skill in Python or an equivalent language, including building integrations against REST APIs and operational tooling.
• Hands-on experience with observability and monitoring platforms - Datadog, Splunk, Dynatrace, New Relic, Prometheus/Grafana, Elastic, or similar - including instrumenting services and building useful alerting.
• Strong program leadership skills: able to define a roadmap, sequence dependencies, and hit aggressive milestones.
• Excellent executive communication skills - comfortable distilling complex technical transformation into clear, concise updates for senior leadership.

Preferred

• Experience operating in a regulated or compliance-sensitive environment (SOC 2, ISO 27001, or similar).
• Prior experience partnering directly with a hyperscaler (AWS, Azure, or GCP) on joint automation or AI initiatives.
• Background in site reliability engineering (SRE) practices and observability tooling.
• Experience with agentic AI frameworks, RAG pipelines, or building internal AI copilots for technical teams.
• Familiarity with ITSM platforms and process - ServiceNow, Jira Service Management, or similar - and comfort automating against them.
• Familiarity with FinOps practices and cloud cost automation.
• Relevant certifications (cloud architect or engineer, Kubernetes, ITIL v4, Terraform).

What success looks like

First 90 days

You know our estate - tooling, telemetry, ticket volume, and the top recurring incident categories. The transformation roadmap is published with milestones and automation-coverage targets, and at least one automation is live and measurably reducing manual work.

First two quarters

A documented automation-first operating model is adopted across the infrastructure team. Intelligent alert correlation is live on our highest-noise services, and baseline AIOps KPIs are instrumented and reported to the CIO.

One year

Measurable improvement in mean time to detect and resolve incidents. A growing share of routine operational workflows runs without manual intervention, and infrastructure changes are consistently deployed through version-controlled, automated pipelines.

Why This Role Stands Out

At IDC, your work helps shape how the world understands technology and where it goes next. You collaborate with curious, high-caliber colleagues who value rigor, integrity, and shared success. As the premier global provider of trusted technology intelligence, IDC equips business and technology leaders with the evidence they need to make confident decisions. Our insights inform strategy, investment, and innovation across industries and regions.

Recognized by IIAR as Analyst Firm of the Year for five consecutive years, IDC sets the standard for credibility and impact. With more than 1,000 analysts worldwide and a truly global perspective, we combine deep expertise with practical relevance. Here, your ideas matter, your voice is heard, and your contributions provide the insights leaders rely on every day. It is meaningful work, backed by a culture that supports growth, collaboration, and long-term career development with a globally respected brand.

What We Offer

• 15 vacation days (prorated based on start date)
• 12 company-paid holidays
• 6 paid sick days (prorated based on start date; may vary by state)
• Medical, dental, and vision coverage
• 2 floating holidays (prorated based on start date)
• 1 volunteer day
• 401(k) company match (IDC matches 3% on the first 6% of employee contributions)
• Company-paid short-term disability
• Company-paid life insurance
• Company-paid parental leave
• Compensation Transparency

At IDC, we are committed to fair and equitable pay practices. Employees are compensated equitably for their work, aligned with their skills and experience. Salary and incentive structures are determined through a rigorous process that considers experience, education, certifications, role-specific requirements, internal equity, and verified U.S. market data from an independent third-party partner.

The expected total annual compensation, depending on location and experience, is between $139,000-$240,000, inclusive of base salary and variable compensation.

If this role relocates to a different country, the salary range will be updated to reflect that country's range, rather than a currency conversion of the original range.

Equal Opportunity Employer

IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify.

IDC is currently able to employ remote workers in the following states: Arizona (AZ), California (CA), Colorado (CO), Connecticut (CT), Washington D.C. (DC), Florida (FL), Georgia (GA), Illinois (IL), Indiana (IN), Kansas (KS), Massachusetts (MA), Maryland (MD), Maine (ME), Michigan (MI), Minnesota (MN), Missouri (MO), Mississippi (MS), North Carolina (NC), New Hampshire (NH), New Jersey (NJ), New York (NY), Ohio (OH), Oregon (OR), Pennsylvania (PA), Rhode Island (RI), South Carolina (SC), Tennessee (TN), Texas (TX), Utah (UT), Virginia (VA), Vermont (VT), Washington (WA), and Wisconsin (WI).

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