[Hiring] Senior Cloud Infrastructure Engineer @Lighthouse

Role Description

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.

• 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.

Qualifications

• 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 unsafe or unverified changes from reaching production.
• Experience applying observability data, automation, and AI-assisted analysis to incident detection, response, and post-incident improvement.
• Experience working within agile teams and influencing DevOps culture.
• Excellent leadership, communication, and mentoring skills.
• B.S. in Computer Science, Information Technology, Engineering, or a related field is required.
• Microsoft Certified: Azure Solutions Architect Expert.
• Certified Kubernetes Administrator (CKA).
• 5–8 years of hands-on experience in cloud infrastructure engineering, including design, implementation, and maintenance of large-scale environments, preferably in Azure.
• Demonstrated experience implementing automation and operational improvements in production cloud environments.
• Experience with AI-enabled engineering or cloud AI services is preferred.

Requirements

• Duties are performed in a typical office environment while at a desk or computer table.
• Duties require the ability to use a computer, communicate over the telephone, and read printed material, in a quiet and professional setting.
• Duties may require being on call periodically and working outside normal working hours (evenings and weekends).

Benefits

• Comprehensive quality benefits package including medical, dental, vision, and a 401k with company match.
• Company paid benefits include Life & AD&D, short and long-term disability, telemedicine, and other wellness plans.
• Generous Flexible PTO program and paid volunteer days.
• Participation in voluntary insurance plans including accident, hospitalization, and critical illness plans as well as pet insurance.
• Eligibility to participate in an annual bonus or incentive program.