WHO WE ARE:

Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government clients by partnering with them to understand their WHAT, WHY, and HOW. Using our signature consulting methodology that we call “The Makpar Way,” we help agencies navigate the ongoing changes in the Federal technology landscape. We succeed where others fail because of our connected and engaged workforce are dedicated to delivering success for our clients and the American people.
Our Mission: We solve complex problems for the Federal government to accelerate access to citizen services.
When it comes to excellence, we deliver. Learn more about our employer brand at makpar.com/careers.
Makpar has an exciting opportunity for a Cloud Architect/Engineer AI to join our growing team. This role is responsible for designing and delivering scalable, secure, and high-performance technical solutions that enable AI-driven and digital transformation in a federal agency. This role also requires deep expertise in cloud architecture, enterprise systems design, and modern development practices, with a focus on enabling innovation and operational efficiency.

REQUIRED QUALIFICATIONS

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• Bachelors or Master s degree in Computer Science, Engineering, or related field.

• 3 year of-experience planning, designing, migrating, building, and/or integrating cloud- based RPA/AI project implementations in the commercial or government sector
• Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Architect Expert).
• Proven experience in solution and cloud architecture, including multi-tier and distributed systems.
• Hands-on expertise in designing enterprise-grade systems with high availability and scalability.
• Strong knowledge of microservices architecture and DevOps practices (CI/CD, container orchestration, etc.
• Familiarity with healthcare application ecosystems, including interoperability and compliance standards.
• Understanding of AI/ML model infrastructure, including deployment, monitoring, and lifecycle management.
• Technically curious and passionate about innovation.
• Strong communicator and collaborator across technical and business teams.
• Detail-oriented with a strategic mindset.

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• Design end-to-end technical solutions that align with business and digital transformation goals.

• Translate functional requirements into scalable and maintainable architectures.
• Cloud & Platform Engineering:
• Architect cloud-native solutions using platforms such as AWS, Azure, or Google Cloud Platform.
• Define infrastructure-as-code and CI/CD pipelines to support agile delivery.
• Lead hands-on design and development of enterprise-grade systems and platforms.
• Ensure systems are resilient, secure, and optimized for performance and cost.
• Implement microservices-based architectures and containerization strategies.
• Promote DevOps practices including automation, monitoring, and continuous integration.
• Work closely with product managers, data scientists, and engineering teams to ensure architectural alignment.
• Provide technical guidance and mentorship to development teams.