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Mid-Level Solutions Architect

Job in Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listing for: C2 Technologies, Inc.
Full Time position
Listed on 2026-10-29
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Azure
Salary/Wage Range or Industry Benchmark: 90000 - 105000 USD Yearly USD 90000.00 105000.00 YEAR
Job Description & How to Apply Below

Work Location: Remote
Job Type: Full-time

Summary

C² Technologies is seeking a Mid-Level Solutions Architect to support the design, development, and implementation of modern cloud-based applications and technology solutions for government and commercial customers.

The ideal candidate combines strong technical architecture skills with hands‑on development experience and can translate business and customer requirements into secure, scalable, maintainable technology solutions. This position requires knowledge of the Microsoft Azure cloud ecosystem
, along with experience designing and developing applications using React, Node.js, and MySQL
.

The Solutions Architect will work closely with software developers, technical leads, project managers, cybersecurity personnel, and customers to define solution architectures, evaluate technologies, resolve technical challenges, and support solutions throughout the development lifecycle.

Candidates should also be comfortable working with modern AI‑assisted development tools, generative AI technologies, APIs, and large language models (LLMs) and understand how AI can be responsibly incorporated into software development and enterprise solutions.

Responsibilities
  • Design and document scalable, secure, and maintainable application and cloud architectures.
  • Translate customer, business, and technical requirements into practical solution designs.
  • Design and support cloud-native and hybrid solutions within the Microsoft Azure ecosystem.
  • Provide technical leadership and architectural guidance to application development teams.
  • Participate directly in application development, prototyping, troubleshooting, and technical problem‑solving when required.
  • Design solutions incorporating:
  • React front‑end applications
  • Node.js back‑end services and APIs
  • MySQL relational databases
  • Azure cloud services and infrastructure
  • Design and integrate RESTful APIs, third‑party services, enterprise systems, and data sources.
  • Develop and review system architecture diagrams, data flows, API designs, infrastructure designs, and technical documentation.
  • Evaluate technical approaches and recommend appropriate technologies, frameworks, platforms, and development patterns.
  • Support Azure infrastructure design, configuration, deployment, monitoring, security, and optimization.
  • Work with Dev Ops teams to support CI/CD pipelines, automated deployments, source control, and environment management.
  • Apply security best practices throughout solution design and software development.
  • Support solutions operating within government security, compliance, and information assurance environments.
  • Participate in customer technical discussions, demonstrations, design reviews, and architecture reviews.
  • Identify technical risks, dependencies, integration challenges, and potential performance issues early in the development lifecycle.
  • Mentor developers and provide technical guidance on architecture, coding practices, cloud technologies, and solution design.
  • Research emerging technologies and recommend opportunities to improve existing products and solutions.
Artificial Intelligence & Emerging Technologies

The Solutions Architect should maintain current knowledge of rapidly evolving AI technologies and development practices.

Responsibilities may include:

  • Using modern AI‑assisted software development tools to improve development productivity, testing, documentation, troubleshooting, and code quality.
  • Evaluating generative AI platforms, APIs, and large language models for potential application within enterprise solutions.
  • Supporting the integration of LLMs, AI APIs, retrieval‑augmented generation (RAG), AI agents, and related technologies into software solutions where appropriate.
  • Understanding the differences between cloud‑hosted and locally…
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