json
{
"JOB SUMMARY": "We are 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.",
"Key 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."
],
"Required Qualifications": {
"Technical Stack Requirements": {
"Frontend": [
"TypeScript",
"React",
"Next.js",
"modern CSS frameworks (e.g., Tailwind CSS)"
],
"Backend": [
"Node.js (Express/NestJS)",
"Python (FastAPI/Django)"
],
"Databases": [
"Relational databases (PostgreSQL/AWS Aurora)",
"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)",
"GCP services (Cloud Functions, GKE, Cloud Storage, Cloud Pub/Sub)",
"Infrastructure as Code (Terraform or AWS CDK)",
"AWS services (Lambda, ECS/EKS, S3, API Gateway, DynamoDB)",
"GCP services (Cloud Functions, GKE, Cloud Storage, Cloud Pub/Sub)",
"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",
"RAG architectures"
],
"DevOps & CI/CD": [
"Docker",
"GitLab CI",
"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."
}
},
"Preferred Qualifications": {
"Good to Have": [
"Experience establishing developer platforms or internal tooling to improve team velocity.",
"Background in advanced cloud security and IAM role management."
]
},
"Certifications": {
"AWS Certifications": [
"AWS Certified Developer",
"DevOps Engineer",
"Machine Learning Specialty"
]
}
}