Junior Cloud Engineer

Jobtailor; Maryland; On-site; USD 110,000 - 140,000; Full time

Job summary

Jobtailor is seeking a Cloud Infrastructure Engineer to design, deploy, and maintain scalable cloud environments across AWS, Azure, and Google Cloud. You will implement IaC using Terraform, CloudFormation, or Pulumi and develop automation scripts in Python, PowerShell, or Bash.

You will support CI/CD pipelines (GitHub/GitLab/Azure DevOps/Jenkins) and assist with cloud security, identity, and access management.

Qualifications

• Degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
• Initial professional, academic, or project experience in cloud engineering, DevOps, systems administration, software development, or IT operations.
• Foundational knowledge of at least one major public cloud platform: AWS, Microsoft Azure, or Google Cloud.
• Understanding of cloud computing concepts including virtual machines, storage, networking, databases, identity, access management, and security.
• Exposure to Infrastructure as Code tools such as Terraform, CloudFormation, Bicep, or Pulumi.
• Basic scripting or programming experience with Python, PowerShell, Bash, JavaScript, or Go.
• Understanding of Git-based source control, pull requests, branching, and collaborative development practices.
• Awareness of CI/CD principles, automated testing, deployment processes, and continuous improvement.
• Interest in monitoring, logging, alerting, incident management, and cloud reliability practices.
• Strong analytical and problem-solving skills.
• Clear communication and collaboration skills with technical and non-technical stakeholders.
• Experience using AWS services such as EC2, S3, Lambda, VPC, IAM.
• Experience using Azure services such as VMs, Storage, Functions, VNet, Entra ID.
• Familiarity with Google Cloud services and CLI/SDKs.
• Exposure to Docker, Kubernetes, Helm, serverless computing, APIs, microservices, or managed cloud platforms.
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, CloudWatch, Datadog, or Splunk.
• Awareness of DevSecOps principles, secrets management, vulnerability scanning, encryption, and cloud security best practices.
• Understanding of Agile delivery methods, Scrum, Kanban, DevOps, or SRE practices.
• Experience with cloud labs, internships, university projects, or industry certifications.
• Willingness to obtain cloud certifications such as AWS Cloud Practitioner, Azure Fundamentals, or Google Cloud Digital Leader.

Responsibilities

• Assist with design, configuration, deployment, and maintenance of secure and scalable cloud infrastructure across AWS, Azure, or Google Cloud.
• Support cloud migration, infrastructure modernisation, platform engineering, and digital transformation projects.
• Help implement and maintain Infrastructure as Code using Terraform, CloudFormation, Bicep, Pulumi, or equivalents.
• Develop and maintain automation scripts using Python, PowerShell, Bash, or similar scripting languages.
• Support CI/CD pipelines using GitHub, GitLab, Azure DevOps, Jenkins, or equivalents.
• Assist with configuring cloud services including compute, storage, networking, databases, identity, and access management.
• Support containerised workloads using Docker, Kubernetes, and managed container platforms.
• Monitor cloud environments, respond to alerts, and elevate incidents where appropriate.
• Investigate issues, perform initial troubleshooting, and contribute to preventative improvements.
• Apply cloud security, access control, governance, backup, and compliance requirements.
• Maintain technical documentation, configuration records, deployment information, operational procedures, and architecture diagrams.
• Collaborate with cloud engineers, DevOps, software engineers, security teams, project teams, and clients.

Skills

Analytical Skills

Problem-Solving Skills

Clear Communication

Collaboration Skills

Education

Bachelor's degree in CS/IT/Engineering

Tools

GitHub

GitLab

Azure DevOps

Jenkins

Prometheus

Grafana

Amazon CloudWatch

Datadog

Splunk

Azure Monitor

Job description

• Assist with the design, configuration, deployment, and maintenance of secure and scalable cloud infrastructure across AWS, Microsoft Azure, or Google Cloud


• Support cloud migration, infrastructure modernisation, platform engineering, and digital transformation projects


• Help implement and maintain Infrastructure as Code using Terraform, CloudFormation, Bicep, Pulumi, or equivalent technologies


• Develop and maintain automation scripts using Python, PowerShell, Bash, or similar scripting languages


• Support the development and operation of CI/CD pipelines using GitHub, GitLab, Azure DevOps, Jenkins, or equivalent platforms


• Assist with configuring cloud services including compute, storage, networking, databases, identity, and access management


• Support containerised workloads using Docker, Kubernetes, and managed container platforms


• Monitor cloud environments, applications, and infrastructure; respond to alerts and elevate incidents where appropriate


• Investigate technical issues, perform initial troubleshooting, and contribute to preventative improvements


• Apply cloud security, access control, governance, backup, and compliance requirements


• Maintain technical documentation, configuration records, deployment information, operational procedures, and architecture diagrams


• Collaborate with cloud engineers, DevOps specialists, software engineers, security teams, project teams, and clients

Requirements

• Degree in Computer Science, Information Technology, Engineering, or equivalent practical experience


• Initial professional, academic, or project experience in cloud engineering, DevOps, systems administration, software development, or IT operations


• Foundational knowledge of at least one major public cloud platform: AWS, Microsoft Azure, or Google Cloud


• Understanding of cloud computing concepts including virtual machines, storage, networking, databases, identity, access management, and security


• Exposure to Infrastructure as Code tools such as Terraform, CloudFormation, Bicep, or Pulumi


• Basic scripting or programming experience with Python, PowerShell, Bash, JavaScript, or Go


• Understanding of Git-based source control, pull requests, branching, and collaborative development practices


• Awareness of CI/CD principles, automated testing, deployment processes, and continuous improvement


• Interest in monitoring, logging, alerting, incident management, and cloud reliability practices


• Strong analytical and problem-solving skills


• Clear communication and collaboration skills with technical and non-technical stakeholders


• Experience using AWS services such as Amazon EC2, Amazon S3, AWS Lambda, Amazon VPC, or AWS Identity and Access Management


• Experience using Microsoft Azure services such as Azure Virtual Machines, Azure Storage, Azure Functions, Azure Virtual Network, or Microsoft Entra ID


• Familiarity with Google Cloud services, cloud management consoles, command-line tools, or cloud software development kits


• Exposure to Docker, Kubernetes, Helm, serverless computing, APIs, microservices, or managed cloud platforms


• Knowledge of monitoring and observability tools such as Prometheus, Grafana, Azure Monitor, Amazon CloudWatch, Datadog, or Splunk


• Awareness of DevSecOps principles, secrets management, vulnerability scanning, encryption, and cloud security best practices


• Understanding of Agile delivery methods, Scrum, Kanban, DevOps, or site reliability engineering practices


• Experience with cloud labs, personal projects, internships, university projects, or industry certifications


• Cloud certification or willingness to work towards a qualification such as AWS Certified Cloud Practitioner, Microsoft Certified: Azure Fundamentals, or Google Cloud Digital Leader


• Must be a US Citizen


• Residency in the Maryland/Washington DC Area

Core Competencies

Demonstrates expertise in cloud infrastructure design, deployment, and maintenance across AWS, Microsoft Azure, or Google Cloud, with a strong focus on Infrastructure as Code using Terraform and automation scripting in Python or PowerShell. Proficient in CI/CD pipeline development and cloud security best practices, ensuring reliable and scalable cloud solutions.

Highest-signal resume keywords

• Cloud Infrastructure Design


• Infrastructure as Code (Terraform)


• CI/CD Pipeline Development


• Cloud Security Best Practices


• Automation Scripting (Python, PowerShell)

Hard Skills

• AWS


• Microsoft Azure


• Google Cloud


• Terraform


• CloudFormation


• Python


• PowerShell


• Docker


• Kubernetes


• CI/CD

Soft Skills

• Analytical Skills


• Problem-Solving Skills


• Clear Communication


• Collaboration Skills

Certifications & Qualifications

• AWS Certified Cloud Practitioner


• Microsoft Certified: Azure Fundamentals


• Google Cloud Digital Leader

Industry Keywords

• Cloud Migration


• Infrastructure Modernisation


• Digital Transformation


• DevSecOps


• Agile Delivery Methods

Tools & Technologies

• GitHub


• GitLab


• Azure DevOps


• Jenkins


• Prometheus


• Grafana


• Amazon CloudWatch


• Datadog


• Splunk


• Azure Monitor