Senior Cloud Infrastructure Engineer
Company: Lighthouse Document Technologies Inc.
Location: Remote (Remote)
Salary: $118,790 - $170,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-10-30
About this role
What is special about Lighthouse?
Lighthouse is built on a foundation of unique, compassionate, highly driven individuals. We elevate the strengths and talents of those around us while leveraging opportunities for growth. We offer the experience of solving complex problems while continuing to grow multiple facets of your career. Lighthouse is where innovation meets support and where collaboration is the key ingredient to success. We grow together and are stronger together.
What’s unique about this role?
The Senior Cloud Infrastructure Engineer demonstrates deep technical expertise and leadership in cloud infrastructure, automation, application hosting, and AI-enabled engineering practices. This role designs robust, scalable cloud solutions that align with business and security requirements; mentors engineers; and applies AI responsibly to improve delivery, operations, and reliability.
What will this person do?
- Lead the design and implementation of complex Azure infrastructure solutions, ensuring scalability, security, reliability, and cost efficiency.
- Champion Infrastructure as Code and automation across all environments, establishing best practices and standards.
- Architect, configure, and optimize Kubernetes clusters for high availability, security, and performance.
- Collaborate with cross-functional teams to support microservices architectures and application modernization.
- Build and improve CI/CD pipelines, operational tooling, and observability practices.
- Leverage AI-assisted tools to accelerate infrastructure design, code authoring, documentation, troubleshooting, and knowledge sharing, with appropriate human review
- Design secure, governed patterns for using AI services in infrastructure workflows, including identity, access control, data protection, auditability, and cost management.
- Apply AI and machine-learning-enabled observability to identify anomalies, correlate signals, prioritize incidents, and improve root-cause analysis...