Cloud Engineer

Confidential Jobs; United States; Hybrid; USD 110,000 - 170,000; Full time

Job summary

Confidential Jobs seeks a Cloud Engineer to design and implement cloud architectures, migration strategies, and cost-optimized solutions. You will develop automation to enable rapid deployment and operate cloud environments with a focus on resilience and security.

You will collaborate with senior engineers to deliver scalable, secure cloud platforms and maintain comprehensive technical documentation and procedures.

Qualifications

• Bachelor’s degree in Cloud Computing or related field required.
• Experience supporting at least one major cloud provider (AWS/Azure/GCP).
• Experience providing operational support for cloud infrastructure.

Responsibilities

• Engineer cloud architectures, migrations, and optimization.
• Develop automation scripts to deploy software to cloud.
• Monitor usage, performance, cost, and capacity.
• Provide Level 2 incident, problem, and change management.
• Maintain documentation for cloud implementations.

Skills

Cloud infrastructure

Automation scripting

Troubleshooting

Technical documentation

Communication

Team collaboration

Independent work

Education

Bachelor’s degree in Cloud Computing or related field

Tools

Terraform

Ansible

Kubernetes

Google Kubernetes Engine

GitLab CI/CD

GitLab

Job description

The Cloud Engineer supports the adoption, expansion, maintenance, and optimization of cloud technologies across the organization. This position is responsible for engineering cloud-based solutions, developing automation capabilities, and providing operational support for cloud environments. The Cloud Engineer works closely with senior and lead engineers to implement scalable, secure, resilient, and cost-effective cloud solutions that support business objectives and the organization’s next-generation technology strategy.

Key Responsibilities

• Engineer and implement cloud-based technical architectures, migration strategies, and application optimization solutions.
• Deploy and manage cloud resources using automation technologies and repeatable engineering patterns.
• Design resilient and redundant cloud solutions that support application availability and business requirements.
• Develop automation scripts that enable application and service teams to deploy software and services into cloud environments.
• Monitor cloud usage, performance, capacity, and spending trends to improve resource efficiency and optimize costs.
• Recommend cloud service improvements, designs, and optimization strategies to senior and lead engineers.
• Research and analyze proposed cloud deployments, modifications to existing services, and opportunities for further cloud adoption.
• Provide recommendations regarding cloud architecture, deployment approaches, operational support, and resource utilization.
• Perform Level 2 incident, problem, and change management activities related to cloud operations and engineering.
• Troubleshoot cloud infrastructure, automation, application deployment, and service performance issues.
• Develop and maintain documentation for operational processes, procedures, architectures, and cloud implementations.
• Remain current with emerging cloud services, automation technologies, security practices, and industry trends.

Minimum Education & Experience Requirements

• Bachelor’s degree in Cloud Computing, Computer and Information Science, Computer Engineering, Information Systems, Information Technology, or a closely related discipline required.
• No education substitutions are permitted.
• Experience providing operational support for at least one major cloud service provider within an organizational environment, including Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
• Experience supporting cloud infrastructure, deployments, applications, or related operational services.

Special Requirements

• Ability to speak and write English fluently and effectively.
• Ability to provide Level 2 operational support and participate in incident, problem, and change management processes.
• Terraform, Ansible, or a comparable automation technology certification is preferred.

Knowledge, Skills, and Abilities

• Strong knowledge of cloud infrastructure, architecture, deployment, operations, and resource management.
• Strong scripting and automation skills, with the ability and willingness to learn additional programming languages.
• Experience with source and version control tools and processes, including GitLab or similar platforms.
• Knowledge of infrastructure automation and configuration management technologies, including Terraform and Ansible.
• Knowledge of containerization and container orchestration technologies, including Kubernetes or Google Kubernetes Engine.
• Understanding of infrastructure concepts, including operating systems, virtualization, networking, storage, and compute resources.
• Knowledge of standard IT security practices, including identity and access management, data protection, encryption, and certificate and key management.
• Ability to design and support scalable, resilient, secure, and cost-effective cloud solutions.
• Strong analytical and troubleshooting skills with the ability to evaluate complex technical issues and recommend effective solutions.
• Ability to develop clear technical documentation, operating procedures, and implementation guidelines.
• Strong verbal and written communication skills.
• Ability to work independently and collaboratively with application, service, infrastructure, security, and engineering teams.
• Ability to manage multiple priorities and achieve challenging goals in an innovative, fast-paced environment.
• Strong attention to detail, adaptability, organization, and commitment to continuous learning.

Additional Desired Characteristics

• Experience producing fault-tolerant, efficient, scalable, and maintainable code.
• Experience designing, building, and deploying scalable cloud-based solution architectures.
• Experience automating cloud infrastructure deployments using Terraform, Ansible, or comparable tools.
• Experience using GitLab or similar version control and continuous integration/continuous deployment platforms.
• Experience with containerization and container orchestration technologies, particularly Google Kubernetes Engine.
• Advanced knowledge of cloud security, identity and access management, encryption, certificate management, and data protection.
• Terraform, Ansible, Kubernetes, or similar technical certification.
• Demonstrated interest in emerging cloud services, automation technologies, and cloud optimization practices.
• Work is performed in a professional, technology-focused environment.
• The position may require extended periods of computer use and participation in virtual or in-person technical meetings.
• The onsite, hybrid, or remote work arrangement will be determined by the organization.
• The position may require occasional work outside standard business hours to support deployments, system changes, incident resolution, or other operational needs.
• Travel requirements, if any, will be determined based on business needs.