Senior Cloud Infrastructure Engineer

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Product Dev Full Time Technical Remote, Remote, US

7 days ago Requisition

Salary Range: $ To $ Annually

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
• Evaluate AI-enabled automation opportunities and implement measurable improvements to reliability, engineering productivity, and operational response
• Lead incident response efforts, conduct post-mortems, and drive continuous improvement initiatives
• Mentor associate and regular engineers on cloud tools, AI-enabled workflows, troubleshooting, and responsible engineering practices
• Participate in agile leadership activities, including story grooming and technical reviews.

Bring your passion and together we will shine. It would also be great if you had the following:

• Advanced expertise with Azure infrastructure, security, networking, and automation.
• Expertise in Infrastructure as Code, including Terraform, ARM, and Bicep, and CI/CD workflows.
• In-depth knowledge of Kubernetes administration, scaling, and monitoring.
• Strong background supporting large-scale, distributed application hosting.
• Proficiency in scripting and automation in multiple languages.
• Practical experience using AI-assisted engineering tools to improve infrastructure-as-code quality, documentation, operational analysis, and developer workflows.
• Understanding of responsible AI practices, including data handling, security, privacy, model limitations, human-in-the-loop review, and auditability.
• Experience integrating or operating cloud AI services and API-based automation while applying least-privilege access, secret management, monitoring, and cost controls.
• Ability to assess AI-generated technical output, validate it through testing and peer review, and prevent…