Senior Cloud AI Engineer - Serverless and Data Pipelines

Embedded Shishya

United States

Remote

USD 106,000 - 132,000

Full time

10 days ago
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Job summary

Natera is seeking a Software Engineer III to build AI-powered transformations across clinical, commercial, and operational domains. You will implement serverless patterns, orchestrate AI pipelines, and develop dashboards with React/Next.js, GraphQL, and Kafka integrations, collaborating in a small autonomous squad.

The role emphasizes hands-on AWS serverless architectures, CI/CD, and experience with AI governance, RAG, and data validation. Remote USA options are available.

Qualifications

  • 4+ years of professional software engineering experience delivering production cloud services.
  • Solid experience with AWS serverless architectures and Kafka.
  • Proficiency with TypeScript/JavaScript, React/Next.js, and GraphQL.
  • Hands-on experience with AI orchestration, guardrails, data validation and RAG patterns.
  • Familiarity with CI/CD and Infrastructure-as-Code (CDK/Terraform).

Responsibilities

  • Implement event-driven transformation workflows and service integrations with AWS Lambda, Step Functions, S3, EventBridge, SNS/SQS, and Fargate.
  • Leverage cloud-based foundation-model APIs to build AI transformation pipelines and RAG patterns.
  • Develop internal tooling and dashboards with React/Next.js backed by GraphQL APIs.
  • Integrate with Kafka streams to exchange messages with domain microservices.
  • Contribute to AI-focused testing and observability through CI/CD.

Skills

AWS serverless
Kafka
TypeScript/JavaScript
React/Next.js
GraphQL
AI orchestration
CI/CD
Infrastructure-as-Code

Tools

CDK
Terraform

Job description

Natera is seeking a Software Engineer III to build AI-powered transformations across clinical, commercial, and operational domains. You will implement serverless patterns, orchestrate AI pipelines, and develop dashboards with React/Next.js, GraphQL, and Kafka integrations, collaborating in a small autonomous squad.

The role emphasizes hands-on AWS serverless architectures, CI/CD, and experience with AI governance, RAG, and data validation. Remote USA options are available.

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