✦ Luna Orbit — Software Engineering

Software Engineer, Mail

at Notion

📍 New York, New York Unknown Posted March 07, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Software Engineering

About this role

Build and maintain reliable, scalable backend systems for Notion Mail, focusing on infrastructure, data models, and asynchronous workflows to support high-volume email features.

Key Responsibilities

  • Design scalable systems
  • Build and evolve backend infrastructure
  • Collaborate with product teams
  • Ensure system observability
  • Maintain high reliability

Technical Overview

Focus on systems design, Kubernetes, telemetry, data modeling, and backend development for SaaS email infrastructure, emphasizing reliability and low latency.

Ideal Candidate

The ideal candidate is a backend engineer with strong experience in systems design, infrastructure, and data modeling, capable of building reliable, scalable backend systems with high throughput and low latency.

Must-Have Skills

Systems design experienceInfrastructure experienceData modeling skillsOwnership and initiativeExperience with Kubernetes

Nice-to-Have Skills

Telemetry tools (Honeycomb)High-volume data processingLow-latency system design

Tools & Platforms

KubernetesHoneycombCloud infrastructure

Required Skills

Systems designKubernetesTelemetryData modelingAPIsAsynchronous workflowsInfrastructure

Hard Skills

Systems designKubernetesTelemetryData modelingAPIsBackend developmentAsynchronous workflows

Soft Skills

OwnershipInitiativeProblem-solvingResults-orientedCollaboration

Industry & Role

Industry SaaS
Job Function Develop and optimize backend infrastructure for Notion Mail

Keywords for Your Resume

Backend EngineerSystems designKubernetesTelemetryData modelingAPIsAsynchronous workflowsInfrastructureHigh-volume processingLow-latency systemsBackend developmentHigh-volume dataLow-latency

Deal Breakers

Lack of experience with Kubernetes, No background in systems design, Inability to handle high-volume data processing

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