Senior Software Engineer (Fullstack + AWS Bedrock + AI) Only W2

Position : Atlanta-GA (Onsite)

W2 Position

Top skills required for this role:

Frontend: TypeScript React and modern CSS frameworks (e.g. Tailwind CSS).

Backend: (Express/NestJS) and/or Python (FastAPI/Django).

Databases: Relational databases (PostgreSQL/AWS Aurora) and Vector Data Stores (Amazon OpenSearch Serverless pgvector or Pinecone).

Cloud Infrastructure (AWS or GCP): Deep familiarity with AWS services (Lambda ECS/EKS S3 API Gateway) and Infrastructure as Code (Terraform or AWS CDK).Cloud Infrastructure (AWS or GCP): Deep familiarity with AWS services

(Lambda ECS/EKS S3 API Gateway DynamoDB) and GCP services (Cloud Functions GKE Cloud Storage Cloud Pub/Sub) and Infrastructure as Code (Terraform or AWS CDK/GCP Deployment Manager).

AI & Orchestration: Amazon Bedrock (interacting with Foundation Models like Claude or Llama) Google Vertex AI LangChain/LlamaIndex and RAG architectures.

DevOps & CI/CD: Docker GitLab CI and observability tools (Datadog AWS CloudWatch Google Cloud Monitoring Google Cloud Logging).

Testing: Automated testing frameworks across the stack (Jest PyTest Playwright or Cypress).

Developer Tools: Advanced proficiency with AI coding assistants (Cursor GitLab Duo Claude Code).

Job Description/ Responsibilities

Platform & App Development: Architect build and scale end-to-end applications. You will take ownership of major platform features ensuring they are performant scalable and resilient.

Frontend Engineering: Build responsive highly interactive and accessible user interfaces. You will manage complex global state and optimize frontend performance.

Backend Engineering: Design and implement robust RESTful and GraphQL APIs. You will architect microservices or modular monoliths that can handle high-throughput enterprise traffic.

Modern DevOps & CI/CD: Design and maintain automated CI/CD pipelines. You will enforce strict automated testing containerization and deployment strategies (Blue/Green Canary) to ensure AI-assisted code is safely tested and deployed.

Enterprise AI Integration (AWS Bedrock or Vertex etc): Integrate LLMs into our platform using Amazon Bedrock or Vertex. You will build highly secure RAG pipelines manage vector databases and implement AI features that directly drive user value.

AI-Assisted Engineering: Utilize tools like Cursor or GitHub Copilot to accelerate the generation of boilerplate and standard logic while focusing your human effort on platform architecture code review and system design.

Years of Experience: 8.00 Years of Experience