Senior Software Engineer

Summary

Join the Service AI Transformation team at Natera and design, build, and deliver scalable integrations and AI-powered workflows. As a Senior Software Engineer, you will leverage cloud-based foundation-model APIs and build AI transformation pipelines. You will also create tooling and dashboards, integrate event streams, and perform AI-focused testing. Collaborate with other teams and mentor junior engineers. This role requires 6+ years of professional software engineering experience and expertise in AWS serverless architectures and event-streaming patterns. The position offers competitive benefits and is remote in the USA.

Requirements

• 6+ years of professional software engineering experience delivering production cloud services
• Expertise in AWS serverless architectures and event‑streaming patterns ( Kafka )
• Advanced proficiency with TypeScript/JavaScript , React/Next.js , and GraphQL
• Practical experience with LangChain/Langraph , prompt engineering, and RAG methodologies
• Strong foundation in CI/CD and Infrastructure‑as‑Code (CDK/Terraform)

Responsibilities

• Design & build transformation workflows: Use AWS Lambda, Step Functions, S3, EventBridge, SNS/SQS, and Fargate , delivered through Infrastructure‑as‑Code (CDK or Terraform). Align with domain microservice boundaries, persisting state in our workflow registry only when necessary
• Leverage cloud‑based foundation‑model APIs + LangChain/Langraph: Build AI transformation pipelines that orchestrate prompts, generate embeddings, and implement Retrieval‑Augmented Generation (RAG) patterns
• Create tooling & dashboards: Develop internal UIs with React/Next.js backed by GraphQL APIs
• Integrate event streams: Consume and publish Kafka topics to guarantee dependable, exactly‑once data movement between services
• AI‑focused testing: Build prompt regression suites, hallucination detection, and evaluation harnesses alongside unit, integration, and load tests
• Operational excellence: Automate CI/CD, security scanning, and deployments; instrument metrics, logs, and alerts with CloudWatch and Datadog
• Partner with Product, Architecture, and Data Science to translate requirements into robust technical solutions
• Mentor engineers through code reviews, design sessions, and knowledge sharing

Preferred Qualifications

• Experience in healthcare, genomics, or other regulated domains
• Familiarity with vector search technologies and semantic similarity techniques
• Knowledge of data privacy and compliance standards such as HIPAA

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Free testing in addition to fertility care benefits
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits
• A generous employee referral program