Sr. Cloud Engineer (Remote)

Position Summary:  

We are seeking a talented Senior Cloud Engineer to join our growing team. This role is responsible for the design, administration, maintenance, and support of the enterprise infrastructure for a dynamic, growing business. The ideal candidate will have a strong technical background in DevOps and automation coupled with excellent communication skills to collaborate with stakeholders and translate business requirements into scalable and efficient solutions, and to implement DevOps culture and improve developer experience. Working within a team environment, the SCE participates directly in solution creation, providing hands-on support as well as operational support and training. This individual must be creative, client focused, solutions-driven, organized, and can thrive in a dynamic environment.

At First Dollar, we believe in empowering engineers to build a smarter health benefits platform - one where human expertise is amplified, not replaced, by AI tools. We seek engineers who have demonstrated experience using AI responsibly to accelerate their development workflow, improve code quality, and solve complex problems more efficiently.

Our engineering team is built on the principle of humans over code. We are a tight-knit group of lifelong learners in a constant quest to be a team that is greater than the sum of its parts. Come join us!

Duties & Responsibilities:

• Design and implement Google Cloud Platform (GCP) infrastructure and solutions 

• Work in an Agile framework to identify and automate solutions that result in enhanced developer experience and increased developer productivity.

• Provide Domain expertise in DevOps culture, tooling, delivery methods and practices in GCP cloud.

• Maintaining and upgrading the deployment platforms as well as system infrastructure with Infrastructure-as-Code using Terraform or similar tools.

• Support inbound calls/emails, maintaining tickets within the issue tracking application related to Infrastructure Support

• Cross train and mentor other team members to facilitate coverage.

• Maintaining and upgrading CI/CD pipelines to enable development teams to go faster with high quality and robust security posture.

• Understand and adhere to organization’s architectural principles, patterns, and guidelines to ensure optimal solution development and implementation.

• Collaborate with architects to ensure alignment with enterprise architecture standards and strategies.

• Effectively utilize AI coding assistants to accelerate developer productivity.

• Stay abreast of emerging technologies, industry trends, and best practices in solution architecture and technology innovation.

• Contribute towards defining and establishing benchmarks, metrics, and quality measures. 

• Focus on the implementation of cost-effective, extensible, and supportable solutions. 

• Support the stability and resiliency of all relevant production processes, as well as instituting a robust support model addressing process and application failures. 

• Leverage AI as a tool, not a replacement - Candidates are expected to understand that AI is a power productivity multiplier while maintaining engineering judgment, and ensuring AI generated code meets quality standards

• Drive adoption of AI-powered coding assistants (Copilot, Claude, etc.) to enhance team productivity, automate workflows, and mentor others in best practices for AI tool integration.

• Maintaining and upgrading observability, alerting and dashboard platforms using GCP tools and/or enterprise tools.

• Other duties as assigned.

Education & Experience:

• 5-7 years of experience in software or solution architecture roles, with a focus on designing and implementing complex, enterprise-level solutions using cloud platform 

• Expertise in Terraform HCL + Terraform CDK is a plus.

• Strong knowledge of software architecture principles, design patterns, and architectural frameworks.

• Strong understanding of Continuous Delivery patterns, Cloud foundational patterns, Observability patterns, Developer experience patterns.

• Related certifications are a plus (e.g. GCP Cloud Engineer)

• Practical AI experience required - Comfortable using tools like GitHub Copilot, ChatGPT, or Claude for prototyping, debugging, and problem-solving.

• Strong analytical and problem-solving skills.

• Bachelor’s degree in computer science or equivalent experience

Technical Proficiency: 

Strong understanding of software architecture principles, design patterns, Continuous Delivery patterns and architectural frameworks. Proficiency in various programming languages, technologies, and platforms relevant to the organization's technology stack.

• Source Code: git

• Infrastructure as Code: Terraform, Terraform CDK, Packer

• AI: Claude Code, MS Copilot

• CI/CD: Automated Pipelines using Github Actions

• Build and Deployment: Node.js React, REST APIs, Mobile

• Cloud Foundation: Enterprise Hub-and-Spoke Network Architecture, GCP foundations

• Application Foundation: CloudFlare CDN, API Management, Cloud Functions CloudSQL (Postgres SQL), Google Storage.

• Observability: Google Cloud Operations.

Other Requirements:

• Infrequent travel (10%)

• Ability to occasionally work overtime or after hours
• Prolonged periods of sitting at a desk and working on a computer