Full stack developer - Irving TX

Hi Every one
hope doing well!.

Job title: Full stack developer

Location: Irving, TX - 5 days onsite

Responsibilities

• Build and maintain full-stack platform features across user-facing workflows, backend APIs, and supporting services.
• Develop clean, reliable services using TypeScript, Node.js, Python and modern API patterns.
• Contribute to user experiences using React ecosystem tools and modern frontend practices.
• Integrate with AI providers and platform services, including model APIs, embeddings, streaming responses, and provider abstraction patterns.
• Support cloud-native delivery on AWS, with growing collaboration around Google Cloud Platform-based initiatives.
• Help implement secure API access, authorization, rate limits, routing, usage tracking, and observability workflows.
• Work with product, platform, security, and DevOps partners to turn ambiguous requirements into practical implementation plans.
• Write maintainable code, tests, documentation, and operational notes that help the platform scale beyond initial pilots.

Required Qualifications

• 7+ years of professional software engineering experience.
• Hands-on experience building production applications with TypeScript, JavaScript, Node.js, React or similar frontend frameworks, HTML, and CSS.
• Experience building or integrating backend services, REST APIs, and service-to-service workflows.
• Working knowledge of AWS services and cloud-native deployment patterns.
• Experience with databases and caching systems such as PostgreSQL, DynamoDB, Redis, or similar technologies.
• Familiarity with Docker, CI/CD, Git, automated testing, and modern software delivery practices.
• Ability to work across frontend, backend, and platform concerns in an ambiguous, evolving product area.
• Interest in AI/GenAI systems, API platforms, governance, observability, and secure enterprise software.

AI, Platform, and Cloud Experience

• Experience integrating with AI providers such as AWS Bedrock, OpenAI, Anthropic, Azure OpenAI, Google Gemini, or similar services.
• Familiarity with model APIs, embeddings, streaming responses, prompt/response handling, or AI application patterns.
• Understanding of API gateway and platform concepts such as authentication, quotas, rate limits, routing, policy enforcement, developer onboarding, and usage tracking.
• Experience with observability tooling, logs, traces, metrics, audit events, or cost and usage reporting.
• Exposure to AWS platform services such as Lambda, ECS, EKS, API Gateway, S3, CloudWatch, Secrets Manager, RDS, DynamoDB, or related services.
• Exposure to Google Cloud Platform services such as Cloud Run, GKE, IAM, networking, Apigee X, or API management is valuable.

Preferred Qualifications

• Experience building Python services or tooling with FastAPI, Pydantic, async/httpx, pytest, or modern packaging workflows.
• Experience using Python with AI provider SDKs, embeddings/vector workflows, agent frameworks, or model evaluation tooling.
• Experience with Apigee X or other enterprise API gateway platforms.
• Experience with Kubernetes, EKS, GKE, or container orchestration in production environments.
• Experience with platform engineering, internal developer platforms, SDKs, API products, or shared service platforms.
• Familiarity with OpenAI-compatible APIs, LangChain, agent frameworks, AI evaluation, prompt workflows, or guardrail concepts.
• Experience with Go, Erlang, or Elixir.
• Experience in retail, e-commerce, high-transaction systems, or enterprise integration environments.
• Comfort working with security, privacy, governance, and compliance-oriented requirements.