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DevOps Engineer
McKinsol Consulting IncWestlake, TX🇺🇸United StatesPosted 27 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Hands-on experience with one or more of the languages (Python, Java, Go, Javascript etc.) Solid experience working with public cloud and cloud infrastructure build Cloud platform experience with certifications preferred (AWS or Azure) Experience provisioning compute resources or managing IAAM roles and subscriptions in the cloud Experience building VPCs, private networks and network routes and rules in the public cloud. Demonstrated ability to utilize modern monitoring tools (DataDog, Prometheus, Splunk, ) Experience managing systems using infrastructure as code tools (CloudFormation, Terraform, ARM etc..) Experience building CI-CD pipelines for DevSecOps functions Hands on Experience on Deployments tools like Udeploy, Starling, Mario Knowledge of WS Cloud DevOps services such as Jenkins, IAM, VPC, ECS, Lambda, RDS, CloudFormation Knowledge of Docker containers and PaaS (such as Cloud Foundry, Kubernetes, OpenShift, Rancher) highly desired. Hands-on Kubernetes skills and knowledge Experience managing systems using infrastructure as code tools (IAM, ARM, Terraform, ). Expertise in Production support, including incident management, root cause analysis, real-time monitoring, and high availability and reliability of critical systems in a fast-paced environment. Azure application deployment Process. Create and maintain docker files, manifest files, and HELM Charts for different environments\orchestrators Experience engineering/sizing, installing, configuring, and maintaining mission critical applications. Azure Active Directory hands on experience. Strong analytical, technical, and problem-solving skills to troubleshoot issues in the cloud. Experienced in Instrumentation with systems skills on building and operating, monitoring, logging, alerting services of distributed systems at scale Your ability to learn and experiment with new technologies and patterns
Skills
Docker
AWS
Splunk
Active Directory
Azure
CloudFormation
Datadog
Helm
Java
JavaScript
Jenkins
Kubernetes
Prometheus
Python
Terraform
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