Senior Full-Stack Engineer - Scale Data Pipelines (Hybrid NYC)

MVP Ventures

Abu Dhabi

Hybrid

AED 661,000 - 808,000

Full time

11 days ago

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Benefits offered by this job

Equity

Job summary

Harmonic, a startup discovery platform, is seeking full‑stack engineers to join one of our teams in New York City. You will own customer-facing features end-to-end, building scalable, observable systems that integrate data pipelines with the full-stack product experience.

We value practical engineering judgment, a track record of shipping high-quality products, and a strong foundation in CS. You will operate in a hybrid work setup with collaboration across product and GTM teams.

Qualifications

  • 5–8 years of experience building full‑stack products at scale.
  • Founding engineer experience or early involvement in scaling a product.
  • Track record of shipping high‑quality product milestones.
  • Strong CS fundamentals and scalable, observable systems.
  • Experience building and scaling data pipelines for large datasets.
  • Ability to turn ambiguity into clarity and balance tradeoffs.

Responsibilities

  • Own customer‑facing features end to end from the customer perspective.
  • Build scalable, performant, observable systems from data to UI.
  • Ship fast, measure outcomes, and iterate based on learnings.
  • Collaborate with Design, Product, and GTM to put the customer first.
  • Continuously question and improve the product experience.

Skills

Full-stack experience
Data pipelines
System design
Observability
Customer obsession

Job description

Harmonic, a startup discovery platform, is seeking full‑stack engineers to join one of our teams in New York City. You will own customer-facing features end-to-end, building scalable, observable systems that integrate data pipelines with the full-stack product experience.

We value practical engineering judgment, a track record of shipping high-quality products, and a strong foundation in CS. You will operate in a hybrid work setup with collaboration across product and GTM teams.

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