Lead Full Stack Developer (Python, LangChain, AWS)-Remote

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract W2
12 Months
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • LangChain
  • AWS
  • AWS CloudFormation
  • Amazon S3
  • Amazon RDS
  • Amazon ECS
  • Amazon Neptune
  • FastAPI
  • REST APIs
  • Docker
  • CI/CD
  • GitHub Actions
  • Jenkins
  • Infrastructure as Code (IaC)
  • Cloud Architecture
  • Platform Design
  • Dash
  • Plotly
  • OIDC
  • OAuth 2.0
  • Authentication
  • API Development
  • Microservices
  • Observability
  • Logging
  • Monitoring
  • Linux
  • Git
  • JSON
  • SQL

Summary

Title - Lead Full Stack Developer (Python, LangChain, AWS)

Location-Remote

Duration Contract

Job Summary

We are seeking a Lead Full Stack Developer with strong expertise in Python, LangChain, AWS, and modern cloud-native application development to lead the design, development, and deployment of enterprise-grade AI-powered applications. The ideal candidate will have hands-on experience across backend development, cloud architecture, infrastructure automation, REST APIs, containerization, and DevOps while providing technical leadership to engineering teams.

This role requires someone who can architect scalable solutions, mentor developers, collaborate with cross-functional teams, and drive best practices for software engineering and cloud platform design.

Key Responsibilities

  • Lead the design, architecture, and development of scalable full-stack applications using Python and AWS.
  • Develop AI-powered solutions leveraging LangChain and Large Language Model (LLM) frameworks.
  • Build secure, high-performance backend services and REST APIs using FastAPI.
  • Design and manage AWS cloud infrastructure using AWS CloudFormation.
  • Develop and deploy applications utilizing Amazon S3, RDS, ECS, and other AWS services.
  • Integrate applications with Amazon Neptune for graph database connectivity.
  • Create interactive dashboards and data visualizations using Dash and Plotly.
  • Design containerized applications using Docker and implement CI/CD pipelines for automated deployments.
  • Build scalable cloud-native architectures following industry best practices.
  • Implement authentication and authorization using OIDC/OAuth2.
  • Ensure application reliability through monitoring, logging, and observability solutions.
  • Conduct code reviews, mentor development teams, and establish engineering standards.
  • Collaborate with architects, DevOps engineers, product owners, and business stakeholders throughout the SDLC.
  • Troubleshoot complex production issues and optimize application performance.

Required Skills

  • 8+ years of Full Stack Software Development experience.
  • Strong expertise in Python application development.
  • Hands-on experience with LangChain and AI/LLM application development.
  • Extensive experience with AWS Cloud Services.
  • Strong knowledge of AWS CloudFormation and Infrastructure as Code (IaC).
  • Experience with Amazon S3, RDS, ECS, and cloud-native application deployment.
  • Experience integrating Amazon Neptune or graph databases.
  • Strong expertise in FastAPI and RESTful API development.
  • Experience with Dash and Plotly for interactive data visualization.
  • Experience with Docker, containerization, and CI/CD pipelines.
  • Knowledge of cloud monitoring, logging, and observability.
  • Familiarity with OIDC, OAuth2, JWT, and authentication flows.
  • Strong understanding of cloud architecture, distributed systems, and microservices.
  • Experience leading development teams and mentoring engineers.
  • Excellent communication and stakeholder management skills.

Preferred Skills

  • LangGraph or LlamaIndex
  • AWS Bedrock or OpenAI APIs
  • Kubernetes (EKS)
  • Terraform
  • GraphQL
  • PostgreSQL or NoSQL databases
  • GitHub Actions, Jenkins, or GitLab CI/CD
  • Agile/Scrum development methodologies

Nice to Have

  • Experience building enterprise AI/Generative AI platforms.
  • Knowledge of Retrieval-Augmented Generation (RAG) architectures.
  • Experience with vector databases and AI orchestration frameworks.
  • Exposure to security best practices and cloud governance.

Regards,

Sai Srikar

Email:

Suwanee, GA-30024

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91081414
  • Position Id: 9032267
  • Posted 3 hours ago
Contact the job poster
Sai Sekhar

Sai Sekhar

Recruiter @ Cyber Sphere LLC
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