Inspira Financial · 9 hours ago
Sr. Cloud Engineer
Inspira Financial is a people-centric company focused on delivering health and wealth solutions. They are seeking a Senior Cloud Engineer responsible for designing, administering, and maintaining enterprise infrastructure while implementing DevOps culture and enhancing developer experience.
Financial Services
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
Qualification
Required
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
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
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
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
Preferred
Expertise in Terraform HCL + Terraform CDK is a plus
Related certifications are a plus (e.g. GCP Cloud Engineer)
Benefits
Healthcare
401K savings plan
Company holidays
Paid time off
Parental leave
Employee assistance program