In All Media Inc logo

2012 DevOps Manager (Azure)

In All Media Inc

BrazilFULL_TIMEPosted 0 day(s) ago$0-$0 / yr

$0-$0 / yr

Salary

brazil

Region

ASAP

Start Date

About In All Media Inc

No company information provided.

About this Role.

📌 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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