Summary
✨ AI‑Generated
Join a hands-on cloud engineering team supporting scalable cloud-native and AI-enabled workloads. You will build Azure infrastructure, manage Kubernetes environments, automate deployments with Infrastructure as Code and CI/CD, and improve observability, security, and production operations.
Highlights
Hands-on DevOps role working with Azure, Kubernetes, Infrastructure as Code, CI/CD, observability, security, and scalable cloud-native workloads.
Description
DevOps Engineer
Location: Dallas / Plano, TX - Locals only
Work Arrangement: Hybrid – 3 days onsite per week
Experience: 5+ years preferred; candidates with strong relevant hands-on experience are encouraged to apply.
Job Overview
We are looking for a hands-on DevOps Engineer with strong experience in Azure cloud infrastructure, Kubernetes, Infrastructure as Code, CI/CD, observability, security, and production application operations.
The ideal candidate will have experience supporting scalable cloud-native and AI-enabled workloads.
Key Responsibilities & Requirements
Strong hands-on experience with Microsoft Azure, including AKS, Azure Functions, Container Apps/App Service, API Management, Key Vault, Storage, and core networking.Experience with Terraform and/or Bicep/ARM for Infrastructure as Code, including reusable modules, state management, and environment promotion.Strong experience with Kubernetes/AKS, including container deployments, Helm charts, ingress, resource tuning, horizontal/cluster autoscaling, and workload security.Design and maintain multi-stage CI/CD pipelines using Azure DevOps or GitHub Actions, including automated testing, security scanning, artifact management, and blue-green/canary deployments.Proficiency in Python for automation, operational scripting, and DevOps tooling.Experience with Azure Monitor, Application Insights, Log Analytics/KQL, Prometheus, Grafana, and/or OpenTelemetry.Experience deploying and operating GenAI/agentic workloads in production, including Azure OpenAI or Azure AI Foundry, model/prompt versioning, evaluation pipelines, vector databases, and monitoring of latency, token usage, and inference costs.Experience supporting Databricks and MLflow, with knowledge of Delta Lake, PostgreSQL, MongoDB, Kafka, and/or Azure Event Hubs.Strong understanding of Microsoft Entra ID, managed identities, RBAC, secrets/certificate management, DevSecOps scanning, and network isolation.Experience supporting large-scale production systems, including capacity planning, high-concurrency workloads, SLOs, incident response, scalability, and cost optimization.Familiarity with LangChain/LangGraph, Semantic Kernel, or MCP and operational patterns for agentic/tool-calling systems.Experience with GitOps tools such as ArgoCD or Flux.Exposure to Istio, Linkerd, or similar service-mesh technologies, API gateways, and rate-limiting patterns.Strong troubleshooting, problem-solving, communication, and ownership skills.
Preferred Qualifications
Experience with FinOps, cloud cost attribution, GPU optimization, and token/inference cost management.Familiarity with Node.js, React, and Next.js build and deployment workflows.Telecommunications industry experience.Experience working in Agile environments with rapidly changing requirements.
Additional Information
Candidates should have genuine hands-on experience with the technologies listed above and be prepared to discuss their experience and projects during the interview.
Resume Requirement: Please submit a concise 2–3 page resume highlighting relevant Azure, Kubernetes, DevOps, IaC, CI/CD, and production experience.
