[Hiring] DevOps Manager @In All Media Inc

Role Description

You will lead the DevOps, infrastructure engineering, and operational readiness for an innovative, high-impact power management platform designed to optimize energy consumption in large-scale data centers and alleviate pressure on power grids.

• Own CI/CD, deployment, release, and operational readiness across Azure cloud and edge Kubernetes environments for a mission-critical energy management platform.
• Consolidate a fragmented CI/CD estate (currently split across GitHub Actions and Azure DevOps) into a unified, canonical standard, driving adoption across engineering teams.
• Build golden paths and reusable pipeline templates to ensure newly developed services are production-deployable on day one.
• Establish repeatable, auditable, versioned, and reversible deployment pipelines for disconnected or intermittently connected edge sites.
• Define and enforce operational readiness criteria (observability, alerting, runbooks, on-call rotation). Own the incident management lifecycle, blameless postmortems, and remediation tracking.
• Embed automated security gates into CI/CD pipelines (container scanning, dependency scanning, secret detection, SBOM, signed artifacts, policy-as-code) and manage credential/secret lifecycles across cloud and edge locations.
• Line-manage DevOps, MLOps, and QA automation engineers—handling 1-on-1s, performance goals, growth, and hiring. Set technical standards, drive nearshore engineering outcomes, and track DORA metrics for senior leadership.

Qualifications

• Minimum 6+ years of hands-on experience in a DevOps leadership or engineering management role.
• Proven track record running Kubernetes in production across both cloud and edge infrastructure.
• Deep technical knowledge of Azure services, including AKS, Azure Identity/Active Directory, and cloud networking.
• Extensive experience consolidating and scaling enterprise pipelines using GitHub Actions and Azure DevOps.
• Hands-on experience establishing production telemetry using tools like Datadog and Grafana.
• Strong experience in automated security delivery, secret rotation (especially in low-connectivity environments), and policy-as-code.
• Direct experience mentoring, hiring, and managing technical talent (DevOps, QA, MLOps).
• Proven success thriving in distributed remote environments using Agile methodologies.
• Professional working proficiency for daily oral and written communication in English.

Requirements

• Exposure to AI coding agents and automated code review workflows.
• Familiarity with AWS infrastructure and MLOps practices (model deployment and monitoring).
• Industry background in energy, industrial, utility, or data center domain engineering.
• Knowledge of Microsoft AI Foundry or frameworks like LangGraph.

Time Zone & Collaboration

This role requires a minimum overlap of 6 hours with US Central (CT) and Pacific (PT) business hours during a standard 8-hour workday to collaborate effectively with distributed engineering teams.

Language

All interviews, technical documentation, daily team syncs, and operational communications will be conducted in English.