Senior Cloud Infrastructure Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $118.8k - $170k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

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Lighthouse

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $23M Debt Financing on 2016-08

Consulting • Healthcare • Logistics

Lighthouse is a company that specializes in eDiscovery and information governance, employing advanced AI technology to streamline legal processes and improve outcomes for legal teams. They offer a range of services including document review, forensic data collection, and strategic consulting, with a strong focus on reducing costs and optimizing data management strategies. Lighthouse partners with various industries, including financial services and healthcare, to help manage complex data environments effectively while ensuring compliance and minimizing risk.

📋 Description

• Lead the design and implementation of complex Azure infrastructure solutions • Ensure scalability, security, reliability, and cost efficiency of cloud infrastructure • Champion Infrastructure as Code and automation across all environments • Establish infrastructure automation best practices and standards • Architect, configure, and optimize Kubernetes clusters for high availability, security, and performance • Collaborate with cross-functional teams supporting microservices architectures and application modernization • Build and improve CI/CD pipelines, operational tooling, and observability practices • Leverage AI-assisted tools for infrastructure design, code authoring, documentation, troubleshooting, and knowledge sharing with human review • Design governed patterns for 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 and conduct post-mortems • 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

🎯 Requirements

• Advanced expertise with Azure infrastructure, security, networking, and automation • Expertise in Infrastructure as Code, including Terraform, ARM, and Bicep • Expertise with 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 • 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 • Knowledge of least-privilege access, secret management, monitoring, and cost controls • Ability to assess AI-generated technical output through testing and peer review • 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 • Demonstrated experience implementing automation and operational improvements in production cloud environments • Experience with AI-enabled engineering or cloud AI services is preferred • Ability to work in a typical office environment at a desk or computer table • Ability to use a computer, communicate by telephone, and read printed material • Ability to be on call periodically and work evenings and weekends when required

🏖️ Benefits

• Medical, dental, and vision insurance • 401k with company match • Company-paid Life & AD&D insurance • Company-paid short- and long-term disability • Telemedicine • Wellness plans • Flexible PTO program • Paid volunteer days • Voluntary accident, hospitalization, and critical illness insurance plans • Pet insurance • Annual bonus or incentive program • On-call and outside-normal-hours compensation eligibility may apply

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