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Software Engineer III, Service AI Transformation
Natera. Implement event-driven transformation workflows and service integrations with AWS Lambda, Step Functions, S3, EventBridge, SNS/SQS, and Fargate using Infrastructure-as-Code (CDK or Terraform) .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in implementing event-driven workflows and service integrations using AWS technologies, alongside proficiency in building AI transformation pipelines and developing internal tools with modern frameworks. Strong experience in cloud services, CI/CD practices, and compliance standards is essential.
Highest-signal resume keywords
AWS Serverless ArchitecturesTypeScript/JavaScript ProficiencyReact/Next.js DevelopmentAI Orchestration and Prompt EngineeringCI/CD and Infrastructure-as-Code (CDK/Terraform)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Event-Driven Transformation WorkflowsService Integrations with AWS LambdaGraphQL API DevelopmentKafka Streams IntegrationAI Transformation PipelinesUnit Testing and Integration TestingCloudWatch InstrumentationDatadog MonitoringPrompt Regression SuitesLoad Testing
Soft Skills
Collaboration with Senior EngineersKnowledge SharingDesign Review Participation
Tools & Technologies
AWS Step FunctionsAWS S3AWS EventBridgeAWS FargateTerraformCDKReactNext.jsDatadogCloudWatch
Industry Keywords
HealthcareGenomicsData PrivacyCompliance StandardsHIPAAVector SearchSemantic Similarity Techniques
Tech Stack
Tools & technologiesAWSCloudGraphQLJavaScriptKafkaMicroservicesNext.jsReactTerraformTypeScript
About the role
Key responsibilities & impact- Implement event-driven transformation workflows and service integrations with AWS Lambda, Step Functions, S3, EventBridge, SNS/SQS, and Fargate using Infrastructure-as-Code (CDK or Terraform)
- Build AI transformation pipelines using cloud-based foundation-model APIs, prompt orchestration, embeddings, and Retrieval-Augmented Generation 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, including prompt regression suites, hallucination detection, evaluation harnesses, unit tests, integration tests, and load tests
- Instrument services with CloudWatch and Datadog and participate in CI/CD pipelines
- Work with senior engineers and Product to break requirements into well-scoped technical tasks
- Participate in design reviews, code reviews, and knowledge sharing
Requirements
What you’ll need- 4+ years of professional software engineering experience delivering production cloud services
- Solid experience with AWS serverless architectures and event-streaming patterns (Kafka)
- Proficiency with TypeScript/JavaScript, React/Next.js, and GraphQL
- Hands-on experience with AI orchestration, guardrails, data validation and quality, prompt engineering, and RAG patterns
- Familiarity with CI/CD and Infrastructure-as-Code (CDK/Terraform)
- Preferred: experience in healthcare, genomics, or other regulated domains
- Preferred: exposure to vector search and semantic similarity techniques
- Preferred: understanding of data privacy and compliance standards such as HIPAA
Benefits
Comp & perks- Comprehensive medical, dental, vision, life and disability plans for eligible employees and dependents
- Free testing for employees and their immediate families
- Fertility care benefits
- Pregnancy and baby bonding leave
- 401k benefits
- Commuter benefits
- Employee referral program