Application Developer building web platforms for merchants to compare payment solutions. Involved in both merchant and provider applications for greater ecosystem transparency.
About the role
- Staff Backend Engineer building AI-native social operating systems at Nectar. Designing backend systems and driving operational excellence with a focus on AI solutions.
Responsibilities
- 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
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