Effectual

Senior DevOps Engineer

Effectual

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $147,000 - $189,000 per year

Job Level

Senior

Tech Stack

AnsibleAWSChefCloudConsulDockerGoGrafanaJavaJavaScriptJenkinsKubernetesLinuxMicroservicesPrometheusPuppetPythonRubySeleniumSwiftTerraform

About the role

  • Effectual Sr. DevOps Engineers (SDOEs) are members of the Professional Services (PS) team responsible for ensuring that customer-facing projects are delivered with exceptional customer satisfaction and technical excellence. Effectual Sr. DevOps Engineers are "Brand Ambassadors" and are expected to stay current on leading practices to deliver high-quality, well-conceived solutions to customers.\n
  • What makes a successful SDOE? SDOEs are skilled, experienced technologists who stay current on leading practices, act in the interests of our customers to deliver fit-for-purpose solutions to their needs to achieve defined business outcomes.\n
  • Essential Duties and Responsibilities: Enabling customers' use of AWS to achieve their business objectives through: AWS Cloud technologies; Kubernetes ecosystem; Designing, deploying, maintaining, and troubleshooting large microservices estates in production on Kubernetes; Service mesh deployment and integration such as ISTIO, Linkerd, Consul, etc.; Using Helm Charts, Custom Resource Definitions; Creating cloud-native CI/CD workflows for containers with tools such as Jenkins, CodeDeploy, CodePipeline, Gitlab, etc.; Hands-on experience with microservices and distributed architecture in a multi-tier environment (Dev, Test, Prod, etc.); Extensive experience in a scripting language (Bash, Python, JavaScript, etc.); Creating and leveraging code to define and automate cloud infrastructure (e.g.: AWS CloudFormation templates, Terraform, AWS CDK, etc.); Automating infrastructure and application deployment and testing in development, pre-production, and production environments; Hands-on experience in a language such as Python, Ruby, Go, Swift, Java, .Net, C++ or similar object-oriented language.; Extensive experience with git version control, git branching, and CI/CD practices; Container development and orchestration in Kubernetes, AWS EKS, Helm, CRD's, etc.; Creating cloud-native CI/CD workflows for containers with Jenkins, CodeDeploy, CodePipeline, Gitlab, etc.; Leading technical design sessions, conduct code reviews for Infrastructure-as-Code implementations, and facilitate knowledge transfer sessions to elevate the overall technical capabilities of the team while fostering a culture of continuous learning and improvement; Mentorship for other engineers on the team or with the customer’s team.; Extensive experience with Kubernetes service mesh architectures such as ISTIO; Advanced-level knowledge in networking and routing within AWS; Master\'s degree or higher in engineering or information systems study; Contributor to Open-Source community; Hands on experience in a production stack with GitOps workflows using Git, ArgoCD, and app of apps patterns, Prometheus, Grafana, etc.; Experience with Kubernetes service mesh architectures such as ISTIO; Proficient in developing Infrastructure-as-Code (e.g.: Terraform / AWS CloudFormation); Proficient in coding configuration management tooling (e.g.: Ansible, Chef, Puppet, etc.); Proficient in at least one or more programming / scripting languages (e.g.: Python, Ruby, Go, Swift, Java, .Net, C++); Demonstrable knowledge of Agile methodologies; Attention to detail; Exceptional communication and time management; The ability to work in a fast-paced environment with changing priorities.

Requirements

  • Enabling customers' use of AWS to achieve their business objectives through AWS Cloud technologies, Kubernetes ecosystem.\n
  • Designing, deploying, maintaining, and troubleshooting large microservices estates in production on Kubernetes.\n
  • Service mesh deployment and integration such as ISTIO, Linkerd, Consul, etc.\n
  • Using Helm Charts, Custom Resource Definitions.\n
  • Creating cloud-native CI/CD workflows for containers with tools such as Jenkins, CodeDeploy, CodePipeline, Gitlab, etc.\n
  • Hands-on experience with microservices and distributed architecture in a multi-tier environment (Dev, Test, Prod, etc.).\n
  • Automating cloud infrastructure with scripting and code, including but not limited to: AWS CloudFormation templates, Terraform, AWS CDK, etc.\n
  • Creating cloud-native CI/CD workflows for containers with tools such as Jenkins, CodeDeploy, CodePipeline, Gitlab, etc.\n
  • Extensive experience in a scripting language (Bash, Python, JavaScript, etc.).\n
  • Creating and leveraging code to define and automate cloud infrastructure (e.g.: AWS CloudFormation templates, Terraform, AWS CDK, etc.).