Nectar Group

Staff Backend Engineer

Nectar Group

full-time

Posted on:

Location Type: Hybrid

Location: Palo Alto • California • United States

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Salary

💰 $180,000 - $300,000 per year

Job Level

Lead

About the role

  • Design and build core backend systems: We ingest high volumes of social data in real time from platforms like Instagram, TikTok, X, and LinkedIn, run AI agents on that content, and surface insights through analytics dashboards. You'll work across this pipeline — building resilient integrations with third-party APIs, optimizing AI workload costs, and scaling the infrastructure underneath it all.
  • Drive operational excellence: improve reliability, build on-call culture, and mature our systems as we onboard more customers and process 10-100x more data.
  • Shape technical direction: write architecture docs, make tool and infrastructure choices, and mentor other engineers. There are no silos here, and engineers have the freedom to work across our entire product and infrastructure stack.

Requirements

  • Backend engineering background with experience designing, building, and operating production systems
  • Strong opinions on system design, loosely held — you can drive architectural decisions and bring others along
  • Desire to mentor engineers and shape engineering culture and process as the company scales
  • Belief that AI is changing how software gets built and a desire to establish AI assisted engineering workflows
  • Comfort operating in a fast-moving startup where you'll wear multiple hats and own problems end-to-end
Benefits
  • Competitive salary and meaningful early-stage equity
  • Health, dental, and vision insurance with 401(k) matching
  • Hybrid work model (Palo Alto office, 3 days/week in-office collaboration)
  • No silos - engineers have the freedom to work across our entire product and infrastructure stack, and participate directly in product decisions
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
backend engineeringsystem designproduction systemsAPI integrationsAI workload optimizationanalytics dashboardsarchitecture documentationinfrastructure scalingdata processingAI-assisted engineering workflows
Soft Skills
mentoringshaping engineering cultureoperational excellencecollaborationadaptabilityproblem ownershipdecision-makingcommunicationleadershipteamwork