Senior Infrastructure Engineer

Huxley; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Huxley in Boston seeks a Senior Cloud Infrastructure Engineer to design, implement, and support modern infrastructure across cloud and on‑prem environments, with emphasis on automation, AI, and reliability.

You’ll partner with architecture and engineering teams to deliver solutions from design to optimization, drive infrastructure standards, and lead DR, security, and observability initiatives in a fast‑paced environment.

Qualifications

• 8+ years in enterprise infrastructure environments.
• BS in CS/IT or equivalent experience.
• Cloud, networking, and platform certifications a plus.
• Strong cloud, virtualization, networking, and operations skills.
• Experience with automation and IaC solutions.
• Scripting with Python or PowerShell.
• APIs and modern automation frameworks experience.
• Familiar with AI platforms and intelligent workflows.

Responsibilities

• Design, implement, and support cloud and on‑prem infrastructure.
• Build and maintain enterprise systems, cloud services, and AI-enabled solutions.
• Collaborate with architecture and engineering across lifecycle.
• Develop infrastructure standards, policies, and best practices.
• Design and test backup and disaster recovery capabilities.
• Monitor health, performance, and security using metrics.
• Support on-call rotations and Eastern Time business hours.
• Evaluate new technologies to improve efficiency and reliability.
• Identify and resolve operational challenges with stakeholders.

Skills

Cloud platforms

Automation

APIs integration

Python

PowerShell

DevOps practices

AI platforms

Networking

Windows administration

Linux administration

Education

Bachelor’s degree in CS/IT or equivalent experience

Tools

CI/CD pipelines

Automation frameworks

Job description

Azure | Senior Infrastructure Engineer | Boston | AI | Cloud | IaC | Professional Services

Overview

We are seeking a Senior Cloud Infrastructure Engineer to join our Technology Engineering team. This role is responsible for designing, implementing, and supporting modern infrastructure platforms across cloud and on-premises environments, with an increasing focus on automation, AI, and operational excellence.

The ideal candidate combines strong technical depth with a practical approach to problem-solving and continuous improvement. You will play a key role in shaping infrastructure strategy, improving system reliability and security, and delivering solutions that support business growth.

What You’ll Do

• Design, implement, and support cloud and on-premises infrastructure platforms.
• Build, configure, and maintain enterprise systems, cloud services, and AI-enabled solutions.
• Partner with architecture and engineering teams to deliver solutions throughout their lifecycle, from design through ongoing optimization.
• Develop and maintain infrastructure standards, policies, and operational best practices.
• Design, test, and continuously improve backup and disaster recovery capabilities.
• Monitor system health, performance, and security, using data and metrics to drive improvements.
• Collaborate with technical and business stakeholders to identify and resolve operational challenges.
• Evaluate emerging technologies and recommend practical solutions that improve efficiency, scalability, and reliability.
• Participate in a rotating on-call schedule supporting production systems and advanced technical escalations.
• Provide support during Eastern Time business hours.

What We’re Looking For

• 8+ years of experience supporting and engineering enterprise infrastructure environments.
• Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent experience.
• Cloud, networking, and/or Microsoft certifications are a plus.
• Strong expertise in cloud platforms, virtualization, networking, and infrastructure operations.
• Experience implementing automation and infrastructure-as-code solutions.
• Proficiency with scripting and automation tools such as Python or PowerShell.
• Experience integrating systems through APIs and modern automation frameworks.
• Familiarity with AI platforms, AI agents, and intelligent workflow automation in an enterprise environment.

Experience with several of the following technologies is desirable:

• Cloud platforms and cloud networking
• Identity and access management
• Single Sign-On (SSO) and conditional access
• Enterprise AI platforms and copilots
• Data governance and information management solutions
• Containerization and orchestration platforms
• CI/CD pipelines and DevOps practices
• Infrastructure-as-Code and configuration management tools
• Windows and Linux administration
• SQL and relational databases
• PKI and certificate management
• Monitoring, observability, and network management platforms

What Sets You Apart

• Strong analytical and troubleshooting skills.
• Ability to balance strategic thinking with hands‑on execution.
• Comfortable working independently and collaboratively.
• Effective at managing competing priorities in a fast‑paced environment.
• Strong communication skills with the ability to explain technical concepts clearly and produce high‑quality documentation.
• A mindset focused on continuous improvement, automation, and operational excellence.

Work Authorization

• Applicants must be legally authorized to work in the United States without current or future employer sponsorship.
• We offer a competitive compensation package that includes base salary, performance‑based bonus opportunities, comprehensive health and wellness benefits, retirement savings programs, professional development opportunities, and a collaborative work environment.
• Compensation is determined based on experience, qualifications, market conditions, and internal equity considerations.

Why This Role?

• This is an opportunity to work on the systems and platforms that underpin a modern technology environment. You’ll have the autonomy to improve how things are built, the opportunity to influence technical direction, and exposure to emerging technologies across cloud, automation, and AI.