Senior Backend Engineer - ML Platform

Lemonade
Tel Aviv
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Python","Kubernetes","Infrastructure as Code","SQL","NoSQL","AWS","Azure","GCP","ML","Real-time ML","Cursor","Claude Code","LLM","RAG","Embeddings","Prompt crafting"]

Lead the design and scaling of Lemonade’s Machine Learning Platform by building cloud-native backend services and AI-enabled tooling. You’ll own architecture of Kubernetes-based microservices, infrastructure-as-code for model deployment, and the end-to-end ML lifecycle from training to real-time monitoring. Collaborate with data science, engineering, and product teams to deliver production-grade ML capabilities that accelerate model delivery and business outcomes.

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FursaFursa
Lemonade
Lemonade
3 months ago

Senior Backend Engineer - ML Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Lead the design and scaling of Lemonade’s Machine Learning Platform by building cloud-native backend services and AI-enabled tooling. You’ll own architecture of Kubernetes-based microservices, infrastructure-as-code for model deployment, and the end-to-end ML lifecycle from training to real-time monitoring. Collaborate with data science, engineering, and product teams to deliver production-grade ML capabilities that accelerate model delivery and business outcomes.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
  • •Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
  • •Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
  • •Evaluate and choose the right tools and technologies based on workload demands and performance requirements
  • •Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals

Key Requirements

  • •6+ years of software engineering experience with a track record of delivering high-scale, production-grade systems
  • •Strong proficiency in Python
  • •Hands-on experience with relational and NoSQL databases, and at least one major cloud platform (AWS, Azure, or GCP)
  • •Experience with training, testing, deploying, and monitoring real-time or near real-time ML models in production
  • •Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field
Experience:6+ yearsAIMachine learningInsurance
Education:Bachelor's
Skills:PythonKubernetesInfrastructure as CodeSQLNoSQLAWSAzureGCPMLReal-time MLCursorClaude CodeLLMRAGEmbeddingsPrompt crafting
Tech Stack:PythonKubernetesAWSAzureGCPSQLNoSQLInfrastructure as CodeMLCursorClaude Code

Company Brief

Lemonade
Lemonade is a technology-first insurance carrier that uses AI and behavioral economics to offer renters, homeowners, pet, car, and life insurance with instant underwriting and claims, and a social-impact 'Giveback' model donating leftover premiums to nonprofits.
Industry: InsurTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2015
Glassdoor
Glassdoor: 3.5
WebsiteLinkedInGlassdoor