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Company Overview

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Job Overview

The Infrastructure Solutions Architect plays a pivotal role in driving Milestone Technologies’ infrastructure solutions with an emphasis on datacenter architectures optimized for AI workloads, DevOps automation, and robust observability. Leveraging deep technical knowledge, visionary architectural skills, and a consultative approach, this role will lead infrastructure transformation initiatives, optimize system performance, and ensure secure, resilient, and scalable infrastructure environments.

You will collaborate with executives, engineering teams, and cross-functional stakeholders to develop consulting services solutions consisting of infrastructure roadmaps, solution architectures, and deployment strategies tailored to meet customer demands for performance, reliability, and agility in complex technology environments.

Key Responsibilities

Architecture & Strategy

Develop and articulate comprehensive datacenter infrastructure including reference architectures optimized for AI and ML workloads.
Partner with senior leaders to assess existing infrastructure environments, identify gaps, and propose strategic initiatives aligned with organizational goals.

Technical Leadership & Solution Design

Drive infrastructure solution design emphasizing Datacenter Infrastructure - Physical Deployments, Operations and Day 2 Execution of AI Factories. Networking, Servers, Storage, Clusters, and underlying services.
Conduct capacity planning, scalability assessments, and performance tuning to support demanding AI/ML computational environments.

DevOps & Automation

Champion and implement DevOps methodologies, CI/CD pipelines, infrastructure as code (IaC) frameworks (Terraform, Ansible, Kubernetes), and automation best practices.
Mentor technical teams in adopting automated deployment, configuration management, and infrastructure orchestration to enhance system reliability and agility.

Collaboration & Stakeholder Engagement

Serve as a trusted advisor translating complex infrastructure strategies and technical architectures into clear business value for senior executives and technical stakeholders.
Coordinate with internal teams (Sales, Delivery, Engineering) and external technology partners to ensure alignment of infrastructure solutions with organizational objectives.

Security & Compliance

Embed security best practices into all infrastructure designs, aligning with industry frameworks (ISO 27001, SOC 2) and standards for zero-trust and identity management.
Ensure adherence to governance, risk management, compliance requirements, and industry standards.

Continuous Improvement & Innovation

Stay abreast of emerging technologies, specifically in datacenter advancements, GPU/accelerated computing platforms, and observability innovations to continuously refine infrastructure services.
Lead and facilitate training sessions and workshops to promote innovation and knowledge sharing within infrastructure and engineering teams.

Required Skills & Experience

• Extensive Infrastructure Architecture Experience

Proven track record defining and implementing complex infrastructure solutions, particularly in datacenter environments optimized for AI and high-performance computing (HPC) - Servers, Storage, Networks.
Deep understanding of datacenter technologies, server/storage architectures, virtualization (VMware, KVM), and container orchestration (Docker, Kubernetes).

• DevOps Automation & Tooling

Hands-on experience with Infrastructure as Code (Terraform, Ansible, CloudFormation), scripting (Python, Bash), and CI/CD pipeline automation (Jenkins, GitLab CI).
Familiarity with Agile methodologies and iterative development practices.

• Leadership & Stakeholder Management

Demonstrated ability to lead cross-functional teams, effectively communicate with senior leadership, and drive complex infrastructure projects from inception to delivery.

• Project & Service Management

Proficiency in managing infrastructure projects, writing technical proposals, creating project estimates, and managing budgets and timelines.

• Education & Certification

Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
Relevant certifications (e.g., AWS/GCP/Azure Architect certifications, TOGAF, CNCF certifications).
Minimum 6 years of experience in Systems Infrastructure, Architecture, or related roles.

Preferred Qualifications

• Advanced Specializations

NVidia Certified
Experience designing infrastructure for GPU-accelerated computing and AI/ML clusters.

• Observability & Monitoring Tools

Expert knowledge of observability stacks (Prometheus, Grafana, ELK Stack, Datadog, Splunk), including setting up advanced monitoring and alerting frameworks.

• Industry Experience

Exposure to technology, financial services, healthcare, or regulated industries is beneficial.

• Soft Skills

Adaptability, strategic problem-solving, and continuous innovation mindset.
Strong communication and presentation skills, comfortable conducting technical sessions and workshops across all organizational levels.

Compensation

Estimated Pay Range:
Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.

Our Commitment to Diversity & Inclusion

At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success.

Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees.

We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.