Senior Software engineer

TechWish

$130K — $155K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of full-stack engineering experience with web applications or SaaS platforms.
  • Proficient in AWS services and cloud infrastructure management.
  • Hands-on experience in frontend and backend technologies such as TypeScript, React, Node.js, and Python.
  • Deep understanding of AI integration, specifically with Amazon Bedrock and Google Vertex AI.
  • Familiarity with CI/CD processes and modern DevOps practices.

Responsibilities

  • Architect and scale end-to-end applications to enhance platform features.
  • Build high-performance, responsive user interfaces managing complex state.
  • Design robust RESTful and GraphQL APIs for high-throughput traffic.
  • Maintain automated CI/CD pipelines with strict testing and deployment strategies.
  • Integrate AI features directly into the platform to deliver user value.
  • Utilize AI tools to streamline coding processes while focusing on architecture and design.
  • Implement AI agentic workflows to improve internal business efficiencies.

Benefits

  • Flexible hybrid work model.
  • Opportunity to work on cutting-edge technology integration.
  • Engagement in a high-impact role within a collaborative team environment.
  • Possibility for contract-to-hire position leading to permanent placement.
Full Job Description
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).

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