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Lighthouse (lighthouseglobal.com)

Senior Cloud Infrastructure Engineer

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in Remote, OR
119K-170K Annually
Senior level
In-Office or Remote
Hiring Remotely in Remote, OR
119K-170K Annually
Senior level
Leads Azure cloud infrastructure architecture, automation, Kubernetes administration, CI/CD, application hosting, observability, incident response, and responsible AI-enabled engineering. Designs secure, scalable, and cost-efficient infrastructure; develops governed AI service patterns; improves reliability and operational response; mentors engineers; and contributes to agile technical leadership.
The summary above was generated by AI

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 Terra form, 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.


Work Environment and Physical Demands

  • 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).


Lighthouse celebrates and thrives on diversity and is an Equal Opportunity Employer. We hire, train, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. We welcome any talents and contributions you can bring to the team and are deeply committed to growing an environment where everyone can feel safe, is respected, and can show up as themselves. Come as you are!


As required by applicable pay transparency laws, Lighthouse complies with compensation disclosure requirements for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including: your specific skills and experience, geographic location, or other relevant factors. The salary range for this position may be tailored to be lower or higher in different talent markets.


Lighthouse offers a comprehensive quality benefits package including medical, dental, vision, and a 401k with company match. Company paid benefits also include Life & AD&D, short and long-term disability, telemedicine, and other wellness plans. We offer a generous Flexible PTO program and paid volunteer days. Employees may also participate in voluntary insurance plans including accident, hospitalization, and critical illness plans as well as pet insurance.


This role will be eligible to participate in an annual bonus or incentive program.


As a trailblazer and catalyst for change, Lighthouse rises to each opportunity to help our clients, and our people do what they do best—shine.

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