[Hiring] DevOps Engineers @In All Media Inc

Role Description

We are seeking experienced professionals to join our team across three specialized DevOps tracks. We are hiring for Production Support, Cloud Migration, and AI/MLOps roles. You will work closely with Engineering, Product, and Platform teams to design, scale, and maintain secure and highly available cloud architectures.

Qualifications

• DevOps Engineer (Production Support)
• 6+ years of experience in DevOps, Cloud Engineering, or Production Support.
• Solid understanding of Azure fundamentals (compute, networking, monitoring) and Kubernetes basics (AKS operations, logs, scaling).
• Hands-on experience with monitoring tools (Azure Monitor, Grafana, etc.).
• Proven experience with incident management and escalation processes.
• Basic scripting capabilities (Bash, PowerShell, or Python).
• DevOps Engineer - Cloud (Migration Focus)
• 7+ years of DevOps / Cloud experience.
• Strong hands-on expertise across both Azure (AKS, networking, IAM, monitoring) and AWS (EC2, EKS, IAM, networking).
• Proven track record of executing real-world cloud migrations.
• Experience with Infrastructure as Code (Terraform preferred) and CI/CD pipelines (GitHub Actions, Jenkins).
• DevOps Engineer AI / Agentic (MLOps Engineer)
• 7+ years in DevOps / Cloud Engineering.
• Deep expertise in Azure (AKS, networking, compute, monitoring) and CI/CD tools (GitHub Actions, Jenkins).
• Hands-on experience applying AI/LLMs to DevOps workflows.
• Proven experience with automation/scripting (Python, Bash, PowerShell) and IaC (Terraform, Bicep, ARM).
• Strong system design and architectural thinking.

Requirements

• DevOps Engineer (Production Support)
• Nice to Haves:
• Exposure to CI/CD pipelines (GitHub Actions, Jenkins) and Infrastructure as Code (IaC) concepts.
• Experience working in 24/7 or high-availability environments.
• Familiarity with ITIL or structured incident management frameworks.
• DevOps Engineer - Cloud (Migration Focus)
• Nice to Haves:
• Experience with multi-cloud strategies, consolidation, and containerization (Docker, Kubernetes).
• Knowledge of cost optimization tools, strategies, and security/compliance in cloud environments.
• Exposure to platform engineering concepts.
• DevOps Engineer AI / Agentic (MLOps Engineer)
• Nice to Haves:
• Experience with agentic frameworks, autonomous workflows, and AIOps platforms (Datadog AI, Dynatrace, etc.).
• Deep expertise in Kubernetes (scaling, observability, cost optimization).
• Experience in multi-platform environments (Azure + AWS).
• Background in platform engineering or Site Reliability Engineering (SRE).

Work Modality

• Remote position from LATAM
• Working hours aligned with Central Time (United States)

Benefits

• Collaborate with highly experienced engineers, architects, and delivery leaders.
• Encouragement of technical excellence, strong ownership, and continuous learning.
• Deliver impactful solutions that shape the future of digital platforms and advanced technologies.