Jobgether
Jobgether

Azure DevOps Engineer (AI / Agentic) ML Ops Engineer

TLDR

Lead AI‑driven automation for scalable Azure cloud infrastructure, evolving DevOps into AI-powered platform engineering with self-healing, observable systems and LLM‑assisted workflows.

Accountabilities:
  • Drive AI-driven automation initiatives by designing and implementing workflows that integrate LLMs and AI tools to reduce operational toil and improve DevOps efficiency.
  • Architect, deploy, and optimize scalable cloud infrastructure on Microsoft Azure, ensuring performance, security, and reliability.
  • Define and evolve CI/CD and Infrastructure as Code strategies using modern tools to enable robust delivery pipelines.
  • Act as a strategic technical advisor, contributing to architecture decisions, system design reviews, and technical alignment.
  • Improve system observability, reliability, and cost efficiency through monitoring, reviews, and continuous optimization.
  • Requirements:

    • 7+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Infrastructure Architecture.
    • Strong expertise in Microsoft Azure, including AKS, networking, compute, and native monitoring tools.
    • Advanced experience with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates.
    • Strong programming and automation skills in Python, Bash, or PowerShell.
    • Practical experience applying AI or Large Language Models to DevOps or engineering workflows.
    • Expertise in CI/CD tools such as GitHub Actions or Jenkins.
    • Strong research and experimentation mindset focused on scalable system design.
    • Experience working in agile, fully remote environments with fluent English communication.
    • Benefits:

      • Fully remote opportunity across Latin America
      • Long-term international engineering projects
      • Exposure to AI-driven DevOps and platform engineering innovation
      • Collaborative and innovation-focused environment
      • Flexible schedule aligned with EST (5–6 hours overlap required)
      • Opportunity to work on advanced cloud and automation challenges
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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Benefits

Flexible Work Hours

Flexible schedule aligned with EST (5–6 hours overlap required)

Learning Budget

Long-term international engineering projects

Cloud and automation challenges

Opportunity to work on advanced cloud and automation challenges

Remote-Friendly

Fully remote opportunity across Latin America

Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.

Founded
Founded 2020
Employees
11-50 employees
Industry
Professional Services
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