Live opening · Posted 3 days ago

Senior Python Fast API ReactJS Architect(with Agentic AI and Azure Experience) ( FTE/Remote USA/ but travel when required)

Damcosoft · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyDamcosoft
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed3 days ago

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About the role

Description supplied by the original job listing.

Position – Senior Python Fast API ReactJS Architect(with Agentic AI and Azure Experience) ( FTE/Remote USA/ but travel when required)
( FTE/Remote USA/ but travel when required) (Hands-on IC (Individual Contributor))
Experience: 10+ years of software engineering experience, including Principal IC level
# of positions: 2
Location: New York OR New Jersey – Remote (but travel when required)
New process implementation:.
All onboarding will be done in person at Client nearby office from candidates’ locations.
Travel expenses will be reimbursed .
Full Stack Lead– AI-Enabled Platform Engineering (Hands-on IC)
Product Development, Sustenance, Modernization & Agentic AI infusion
Travel: 25% during active client engagements
Experience Level: 10+ years
About the Role
As a Full Stack lead Developer you will be the senior-most hands-on full stack engineer embedded within a modern AI-enabled platform team, responsible for architecting and delivering a unified application that consolidates fragmented workflows into a centralized, scalable system.
In this role, you will lead the design and development of both frontend and backend layers—building the application shell, user interface, and supporting services that power complex workflows, collaboration experiences, and structured evaluation processes. You will also drive integration with enterprise systems, data pipelines, and analytics platforms, enabling seamless interaction across structured and unstructured data sources.
You will leverage Claude AI extensively as an engineering productivity accelerator—driving faster delivery, improving development efficiency, and enabling high-quality code, system design, and documentation. Claude will be a core part of your daily engineering workflow (coding, debugging, UI development, backend services, integrations, and documentation acceleration), but not a runtime dependency of the application architecture.
This is a pure individual contributor architect role with ownership across the full technology stack—from user experience to backend services and integrations. Approximately 70–75% of your time will be hands-on coding, system design, and full stack engineering, with the remainder focused on collaboration with product and stakeholder teams to ensure successful delivery of a high-quality, enterprise-grade platform.
Required Qualifications
10+ years of software engineering experience, including 3+ years at Senior IC level building large-scale full stack platforms in enterprise environments.
Proven experience designing and delivering end-to-end full stack systems that combine rich user interfaces, scalable backend services, and data-driven workflows.
Extensive usage of Claude AI or equivalent AI coding assistants as a core development accelerator—demonstrated impact on engineering velocity, code quality, and GTM timelines.
Full Stack Engineering (Required — Primary Focus Area)
Strong expertise in frontend development using modern frameworks (React, Angular, or equivalent) for building scalable, responsive, and intuitive user interfaces.
Deep expertise in backend development using Python and FastAPI for building high-performance, enterprise-grade systems.
Hands-on experience building API-driven and service-oriented architectures (REST, GraphQL, event-driven patterns) across the stack.
Proven ability to design and build scalable backend services and microservices architectures with strong modular and domain-driven design principles.
Strong knowledge of data modeling, persistence layers, and database design (SQL/NoSQL) for high-volume, high-performance systems.
Experience implementing event-driven and asynchronous systems using messaging, queues, and distributed processing patterns.
Strong understanding of performance optimization, caching, scalability, and resiliency patterns across frontend and backend layers.
Experience building secure applications with authentication, authorization, and governance controls for enterprise environments.
Proven ability to design and deliver end-to-end application workflows spanning UI, APIs, business logic, and data layers.
Cloud & Platform Engineering (Required — Primary Focus Area)
Hands-on experience with cloud-native application development, including frontend hosting, backend services, and API management.
Experience integrating with enterprise systems, data pipelines, and analytics platforms.
Familiarity with designing systems that support AI-assisted workflows and intelligent application experiences.
Strong understanding of CI/CD pipelines, observability, deployment models, and performance monitoring in distributed systems.

Work arrangement
Yes

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