Cloud Platform Engineer chez Consumer Small Business

Duties and Responsibilities:

• Manage cloud environments in accordance with company security guidelines.
• Ensure application performance, uptime, and scalability in the cloud.
• Design enterprise-wide Cloud solutions to implement IAC.
• Responsible for creating, automating, and implementing scalable solutions for the CI/CD pipeline including optimizations, monitoring, QA defect management and support of the end-to-end release process.
• Design and implement ephemeral application environments using IAC and code pipelines. 
• Evaluate and identify the best cloud solutions in collaboration with Architecture and Development teams.
• Ensure application performance, uptime, and scalability in the cloud.
• Implement and maintain, customize, monitor, and troubleshoot a wide variety of automation tools, DevOps scripts, and integrations.
• Design and implement Self-Service Cloud infrastructure provisioning using infrastructure as code tools.
• Partner with development teams to ensure agile software delivery and DevOps practices are applied.
• Maintain the integrity of services integrated with our cloud environments, including proprietary in-house systems and external integrations.
• Maintain documentation of infrastructure and processes
• Troubleshoot issues pertaining to applications hosted in the cloud.
• Assist in redesigning on-prem applications to maximize cloud advantages during migration.
• Lead and mentor DevOps team.

Skills and Qualifications:

• 8+ years DevOps with an understanding of CI/CD processes, integration concepts.
• Fluency with scripting and tooling with one of the following: Python, Bash Scripting, groovy, PowerShell.
• Knowledge of network concepts: IP addressing, DNS, load balancing.
• Familiarity with Atlassian products including JIRA and Confluence.
• Experience with CICD Automation Tools such as Harness. 
• Professional experience with GCP (primary), Azure (secondary).
• Experience in creating and managing Docker based containers.
• Docker and Kubernetes especially regarding GCP/GKE.
• Configuration tools such as Ansible, Puppet, Chef.
• IAC tools such as Terraform.
• Research and implement monitoring and AI/ML Ops principles into Pipelines.
• Integration with SOAP and REST API.
• CICD and Release Automation and change control processes.
• Experience in working in large environments with multiple work streams and vendors.
• SAFe process understanding and experience.
• Excellent communicator (written and verbal): ability to read, write, speak, and understand English, including presentations.
• Strong analytical and problem-solving skills with a dedicated approach to getting things done.
• Ability to work independently as well as collaboratively on cross-functional teams.
• Ability to perform in a dynamic, fast-changing work environment.
• GCP Professional Certifications (e.g., Cloud Architect, DevOps Engineer, SRE). 
• Hands-on experience applying SRE principles (SLOs, Error Budgets, Toil reduction). 
• Experience with Infrastructure as Code (IaC) tools like Terraform. 
• Familiarity with containerization and orchestration (e.g., Docker, Kubernetes). 
• Experience optimizing CI/CD pipelines and promoting DevOps methodologies. 
• Platform Design & Evolution: Architect and oversee the implementation of scalable, reliable, and cloud-native solutions, with a strong focus on Google Cloud Platform (GCP). 
• Observability & Reliability: Lead the development and execution of observability strategies, including monitoring, logging, tracing, and alerting. 

ADT is transitioning to an in-office model. New team members will work from home but should plan to return to an in-office model at a later date. We will keep you well informed and supported throughout the transition. 

Anticipated application end date will be on 11/11/2025.