- Location
- BR
- Workplace
- Remote
- Type
- Full-time
- Department
- IT
- Seniority
- Manager
- Experience
- 6+ years
- Source
- Breezy HR
Description
📌 Position: DevOps Manager
Location: Remote from LATAM
Contract Type: Full-time vendor (Contract directly with In All Media)
Time Zone Alignment: US Central Time (CT) / Pacific Time (PT) overlap
🧭 About In All Media
In All Media is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
Contract Details: This is a 100% remote contractor position open to talent anywhere in LATAM. Your contract and engagement will be directly managed with In All Media.
🚀 Project Overview
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.
In this role, you will tackle high-stakes technical challenges: consolidating a fragmented CI/CD ecosystem, standardizing multi-environment deployments across Azure cloud and edge Kubernetes clusters, embedding DevSecOps practices, and directly line-managing a high-performing nearshore team of DevOps, MLOps, and QA automation engineers.
🔍 Key Responsibilities
- Cloud & Edge Infrastructure: Own CI/CD, deployment, release, and operational readiness across Azure cloud and edge Kubernetes environments for a mission-critical energy management platform.
- CI/CD Consolidation: Consolidate a fragmented CI/CD estate (currently split across GitHub Actions and Azure DevOps) into a unified, canonical standard, driving adoption across engineering teams.
- Developer Experience: Build golden paths and reusable pipeline templates to ensure newly developed services are production-deployable on day one.
- Edge Deployment Strategy: Establish repeatable, auditable, versioned, and reversible deployment pipelines for disconnected or intermittently connected edge sites.
- Production Readiness & Incident Management: Define and enforce operational readiness criteria (observability, alerting, runbooks, on-call rotation). Own the incident management lifecycle, blameless postmortems, and remediation tracking.
- DevSecOps Integration: 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.
- Engineering Leadership: 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.
💡 Must-Have Skills
- Leadership Experience: Minimum 6+ years of hands-on experience in a DevOps leadership or engineering management role.
- Kubernetes Expertise: Proven track record running Kubernetes in production across both cloud and edge infrastructure.
- Azure Mastery: Deep technical knowledge of Azure services, including AKS, Azure Identity/Active Directory, and cloud networking.
- CI/CD Ecosystems: Extensive experience consolidating and scaling enterprise pipelines using GitHub Actions and Azure DevOps.
- Observability Tools: Hands-on experience establishing production telemetry using tools like Datadog and Grafana.
- DevSecOps Practices: Strong experience in automated security delivery, secret rotation (especially in low-connectivity environments), and policy-as-code.
- People Management: Direct experience mentoring, hiring, and managing technical talent (DevOps, QA, MLOps).
- Agile & Remote Work: Proven success thriving in distributed remote environments using Agile methodologies.
- Fluent English: Professional working proficiency for daily oral and written communication.
🌟 Nice-to-Have Skills
- 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.
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