DevOps Engineer

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Effectual

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Cloud • Enterprise • Artificial Intelligence

Effectual is an AWS Premier Tier Services Partner specializing in enterprise digital transformation, focusing on cloud migration and modernization. They offer a range of services including cloud strategy and design, application development, and data analytics, leveraging cutting-edge technology like Generative AI to drive innovation and efficiency. Effectual works across various sectors such as financial services, aerospace, and the public sector, aiming to optimize cloud costs and enhance data security for their clients.

201 - 500 employees

🏢 Enterprise

🤖 Artificial Intelligence

💰 Private Equity Round on 2019-11

📋 Description

• Enable customers’ use of AWS to achieve their business objectives through: 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 application architecture in a multi-tier environment (Dev, Test, Prod, etc.). • Automating cloud infrastructure with scripting and code, including but not limited to extensive experience in a scripting language (Bash, Python, JavaScript, etc.). • Composing and leveraging code to define and automate cloud infrastructure (e.g.: AWS CloudFormation templates, Terraform, AWS CDK, etc.) to ensure repeatable, sustainable AWS infrastructure. • Experience with the full software development lifecycle and delivery using Agile practices in a team environment. • Supporting developers in efficiently working within AWS through: Architecting, coding, deploying, and troubleshooting Continuous Integration / Continuous Deployment (CI/CD) pipelines. • Providing input and guidance to developers on overall AWS Architecture and design tenets.

🎯 Requirements

• Minimum Education: Bachelor’s degree in related discipline AND Minimum Experience: 10 years of experience, including cloud professional and/or project management certification OR Substitution/Alternative to Minimum Education and Experience: Must have at least 10 years of on-the-job experience. • Available during customer working hours, as needed—both for scheduled and impromptu support. • Be able to work remotely but, be able to go on-site as requested and/or occasionally on-site in Washington DC. • AWS Solutions Architect and/or Developer and/or SysOps Engineer – Professional and/or AWS DevOps Engineer Professional. • Must be a US Citizen. • 10+ years of DevOps/SRE experience working in AWS environment(s) and/or supporting software development team(s). • Strong understanding of AWS cloud platforms, including core services and infrastructure components. • Experience developing CI/CD pipelines using tools like GitLab or Jenkins. • Experience with Kubernetes running microservices in production. • Container development and orchestration in Kubernetes, AWS EKS, Helm, CRD’s, etc. • Strong working knowledge of leading AWS cloud security practices. • Hands on experience and solid understanding of both Linux and Docker. • 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++).

🏖️ Benefits

• Enable customers’ use of AWS to achieve their business objectives. • 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 application architecture in a multi-tier environment (Dev, Test, Prod, etc.) • Automating cloud infrastructure with scripting and code, including but not limited to extensive experience in a scripting language (Bash, Python, JavaScript, etc). • Hands on experience in a language such as Python, Ruby, Go, Swift, Java, .Net, C++ or similar object-oriented language. • Composing and leveraging code to define and automate cloud infrastructure (e.g.: AWS CloudFormation templates, Terraform, AWS CDK, etc.) to ensure repeatable, sustainable AWS infrastructure. • Automating infrastructure and application deployment and testing in development, pre-production, and production environments. • Experience with the full software development lifecycle and delivery using Agile practices in a team environment. • Supporting developers in efficiently working within AWS. • Architecting, coding, deploying, and troubleshooting Continuous Integration / Continuous Deployment (CI/CD) pipelines. • Providing input and guidance to developers on overall AWS Architecture and design tenets. • Extensive experience with git version control, git branching, and CI/CD practices. • Establishing visibility into cloud operations.