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Python Principal Architect

Job

Cynet Systems

San Jose, CA (In Person)

$161,200 Salary, Full-Time

Posted 2 days ago (Updated 6 hours ago) • Actively hiring

Expires 6/29/2026

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Job Description

We are looking for a Python Principal Architect for our client in
San Jose, CA Job Title:
Python Principal Architect Job Location:
San Jose, CA Job Type:
Contract Job Overview:
Pay Range:
$75hr - $80hr
Requirement/Must Have:
12+ years of hands-on experience in full stack development. Strong expertise in Python and SQL. Experience designing enterprise-grade applications. Hands-on experience with APIs and end-to-end system architecture. Strong experience with Google Cloud Platform, AWS, Docker, FastAPI, Django, and CI/CD. Ability to write production-quality code across the complete software lifecycle. Experience building reusable framework-quality components. Strong knowledge of architecture decision-making and trade-off analysis. Experience with observability, monitoring, and deployment of AI services. Expertise in designing scalable data ingestion and embedding pipelines.
Experience:
12+ years of software engineering and architecture experience. Proven experience architecting and delivering enterprise applications. Experience with AI frameworks and modern engineering practices. Experience working in regulated environments such as financial services or cybersecurity preferred.
Responsibilities:
Design end-to-end system architectures and APIs. Define and own technical blueprints for new applications and platforms. Build scalable systems from data ingestion and embedding pipelines through production deployment and monitoring. Solve complex engineering problems and perform architecture trade-off analysis. Write and maintain production-quality Python, SQL, and API service code. Build reusable engineering frameworks and shared components. Develop CI/CD pipelines and Docker-based deployment strategies. Track and evaluate emerging AI technologies, frameworks, and tooling. Establish engineering standards including code reviews, testing practices, and reusable libraries. Conduct technical design reviews and mentor engineering teams on architecture best practices. Partner with Product, Data Science, and Platform Engineering teams. Communicate technical decisions and business impacts to stakeholders. Support compliance and data governance requirements in regulated environments.
Should Have:
Strong understanding of AI frameworks such as LangGraph, Google ADK, CrewAI, or AutoGen. Experience with retrieval methods, fine-tuning techniques, and AI tooling. Strong leadership in technical design and engineering excellence. Ability to rapidly prototype and scale solutions into production systems.
Skills:
Python. SQL. FastAPI. Django. API Development. Google Cloud Platform. AWS. Docker. CI/CD. System Architecture. AI Engineering. Observability and Monitoring. Full Stack Development. Cloud-Native Development.
Qualification and Education:
Bachelor s degree in Computer Science, Engineering, or related field preferred.