Devops Engineer
E-Solutions
Role :- DevOps Engineer (10+ years)
Location :- Plano, TX (Hybrid)
Job Description :-
We are seeking a DevOps Engineer with 6-8 yrs of experience to design, implement, and operate scalable CI/CD pipelines, infrastructure-as-code (IaC), and cloud-native platforms. This role focuses on automating build, release, and infrastructure provisioning processes while enabling reliable, secure, and observable deployments across Kubernetes-based environments. The engineer will work closely with application, platform, and security teams to improve delivery velocity, reliability, and operational efficiency.
Key Responsibilities:
? Design, build, and maintain CI/CD pipelines to enable automated build, test, and deployment workflows.
? Implement and manage Infrastructure as Code (IaC) using tools such as Terraform to provision and manage cloud and platform resources.
? Operate and optimize Kubernetes clusters for scalable, resilient application workloads.
? Package, deploy, and manage applications using Helm charts across environments.
? Implement GitOps practices to manage infrastructure and application deployments through version-controlled repositories.
? Automate infrastructure provisioning, configuration, and lifecycle management to reduce manual effort and errors.
? Collaborate with development teams to standardize deployment patterns and platform capabilities.
? Ensure platform reliability, availability, and performance through monitoring, alerting, and operational best practices.
? Continuously improve DevOps tooling, pipelines, and automation frameworks. Technical Skills:
? CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS Codepipeline
? Kubernetes: Cluster operations, workload deployment, scaling, and troubleshooting
? Helm: Application packaging, templating, and release management
? Infrastructure as Code (IaC): Terraform (primary), CloudFormation
? GitOps: Argo CD, Flux, or similar GitOps-based deployment models
? Cloud Platforms: AWS fundamentals
? Containers: Docker and container lifecycle management
? Observability: Prometheus, Grafana and OpenTelemetry
? Scripting (Good-to-have): Bash, Python
? Working knowledge of GenAI tools such as GitHub Copilot, Amazon Q, Kiro or other similar AI-assisted development platforms/tools.
Location :- Plano, TX (Hybrid)
Job Description :-
We are seeking a DevOps Engineer with 6-8 yrs of experience to design, implement, and operate scalable CI/CD pipelines, infrastructure-as-code (IaC), and cloud-native platforms. This role focuses on automating build, release, and infrastructure provisioning processes while enabling reliable, secure, and observable deployments across Kubernetes-based environments. The engineer will work closely with application, platform, and security teams to improve delivery velocity, reliability, and operational efficiency.
Key Responsibilities:
? Design, build, and maintain CI/CD pipelines to enable automated build, test, and deployment workflows.
? Implement and manage Infrastructure as Code (IaC) using tools such as Terraform to provision and manage cloud and platform resources.
? Operate and optimize Kubernetes clusters for scalable, resilient application workloads.
? Package, deploy, and manage applications using Helm charts across environments.
? Implement GitOps practices to manage infrastructure and application deployments through version-controlled repositories.
? Automate infrastructure provisioning, configuration, and lifecycle management to reduce manual effort and errors.
? Collaborate with development teams to standardize deployment patterns and platform capabilities.
? Ensure platform reliability, availability, and performance through monitoring, alerting, and operational best practices.
? Continuously improve DevOps tooling, pipelines, and automation frameworks. Technical Skills:
? CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS Codepipeline
? Kubernetes: Cluster operations, workload deployment, scaling, and troubleshooting
? Helm: Application packaging, templating, and release management
? Infrastructure as Code (IaC): Terraform (primary), CloudFormation
? GitOps: Argo CD, Flux, or similar GitOps-based deployment models
? Cloud Platforms: AWS fundamentals
? Containers: Docker and container lifecycle management
? Observability: Prometheus, Grafana and OpenTelemetry
? Scripting (Good-to-have): Bash, Python
? Working knowledge of GenAI tools such as GitHub Copilot, Amazon Q, Kiro or other similar AI-assisted development platforms/tools.
Vacancy posted 4 days ago
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