
Senior Software engineer
TechWish · Redmond, WA · Hybrid
All reasons
- Open 75 days
In its favour
- Still listed on the employer's own board
GC/ USC Preferred
Role
Senior Software Engineer
Duration
6+ Months CTH
Location: Atlanta, GA 30312 || Hybrid Role
Job Description-
Need Strong AWS experienced candidate who Built AWS agents. Looking for a pragmatic, high-output Senior Engineer to help revolutionize our technology ecosystem. You will build intelligent systems that serve thousands of internal users, removing manual friction through agentic workflows and high-level AI orchestration.
What You Will Do
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.
AI Agentic Workflows
Design and implement complex AI agentic workflows that leverage multi-step reasoning, tool-use integration, and autonomous decision-making to significantly streamline internal business processes.
Technical Stack
Requirements To be successful in this role, you should have hands-on, production-level experience with the following technologies:
Frontend
TypeScript, React, Next.js, and modern CSS frameworks (e.g., Tailwind CSS).
Backend
Node.js (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).
What We're Looking For
Experience
5+ years of full-stack engineering experience, with a demonstrated history of building and scaling comprehensive web applications or SaaS platforms.
Quality & Architecture Focus
You view AI as an accelerator, not a replacement for good design. You possess the ability to review and refactor code rigorously, ensuring maintainability and preventing technical debt.
DevOps Mindset
You don't just write code; you know how to safely deploy, monitor, and maintain it in a cloud-native environment.
Good to Have
- Experience establishing developer platforms or internal tooling to improve team velocity.
- Background in advanced cloud security and IAM role management.
- AWS Certifications (e.g., AWS Certified Developer, DevOps Engineer, or Machine Learning Specialty).
Skills
- AWS
- GraphQL
- Bedrock
- LLM
- Retrieval-Augmented Generation
- Vector Databases
- Cursor
- GitHub Copilot
- TypeScript
- React
- Next.js
- CSS
- Tailwind CSS
- Node.js
- Express
- NestJS
- Python
- FastAPI
- Django
- PostgreSQL
- Aurora
- OpenSearch
- Serverless
- pgvector
- Pinecone
- GCP
- AWS Lambda
- ECS
- EKS
- S3
- API Gateway
- Terraform
- AWS CDK
- DynamoDB
- Cloud Functions
- GKE
- Google Cloud Storage
- Pub/Sub
- Anthropic Claude
- Llama
- Vertex AI
- LangChain
- LlamaIndex
- Docker
- GitLab CI
- Datadog
- AWS CloudWatch
- Jest
- pytest
- Playwright
- Cypress
- GitLab
- Claude Code
- IAM
- Machine Learning
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