# Sr. Full Stack Software Engineer (Front End Leaning) at Adora

> Onsite · United States · Senior · Frontend · open. Source: https://alderhq.app/jobs/lever%3Aadora%3A1dc43e89-aa80-497e-9da3-5ca7a521cda8 (read 2026-11-13).

## Facts (observed)

- Company: [Adora](https://alderhq.app/companies/adora)
- Location text: Seattle, Washington
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: Seattle, Washington")
- Posted: 2025-09-16 (422 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/adora/1dc43e89-aa80-497e-9da3-5ca7a521cda8
- Skills listed (inferred): TypeScript, JavaScript, React, Node.js, Python, Java, PostgreSQL, MySQL, MongoDB, AWS, LLMs

## Pay and sponsorship

- Posted pay: $160k–$200k per year (from the listing's pay field)
- Market band for similar posted roles (Seattle, n 10): p25 $180k, median $198k, p75 $214k
- Recognised sponsor (NL): registered as "Adora B.V." (checked 2026-11-09, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))

## Description (the employer's text)

We are a rapidly growing Seattle & NYC SaaS company developing an innovative platform in a trillion-dollar industry. Adora is transforming how enterprise B2C brands take back control from platform algorithms. Our AI-powered performance marketing platform delivers Speed at Scale, enabling creative teams to outpace Meta and Google's changing requirements while driving measurable ROAS improvements.

We're seeking a Senior Fullstack Engineer who thinks in experiences, not features. You'll architect our customer-facing platform, understanding how marketers actually work and building the technical foundation that makes their jobs easier. This is a hands-on role where you'll code daily while shaping how our entire system evolves.

Tech stack: Python, MySQL, AWS, Big Query, React, TypeScript

### Key Responsibilities

- Build for real users: Spend time with customers, understand their workflows, and translate insights into holistic systems that scale, not just features that work
- Own the full stack: Acting as an architect and builder for the user-facing application from front-end experiences to backend apis
- Bridge the gap between our AI/ML systems and user-facing features, translating complex data pipelines into actionable interfaces
- Build with speed and precision: rapidly prototype and iterate on new features while maintaining code quality and system reliability
- Champion technical excellence: Share knowledge and establish patterns that make everyone more effective
- Collaborate directly with product, design, and our founding team to shape the product roadmap
### Requirements

- 7+ years of software engineering experience with at least 5 years in fullstack roles, with strong frontend expertise and backend proficiency across:
- Building and maintaining React web applications in TypeScript.
- Architecting RESTful services and APIs and familiarity with database technologies (e.g., MySQL, MongoDB, PostgreSQL).
- Backend development using languages and frameworks such as Node.js, Python, Java, or Go.
- Startup DNA: previous startup experience or genuine excitement about the startup environment - you thrive in ambiguous, fast-moving situations where you wear multiple hats.
- Technical leadership: Proven ability to solve complex scalability challenges and design systems that can grow 10x without major rewrites.
- Exceptional collaboration: thrive in cross-functional teams with low ego and high empathy. You proactively share progress, blockers, and insights ensuring the best product is built.
### Preferred Qualifications

- Understanding of LLMs and how to integrate AI capabilities into user-facing products
- Familiarity with marketing technology or advertising platforms / technology
- Experience building B2B SaaS applications

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Aadora%3A1dc43e89-aa80-497e-9da3-5ca7a521cda8 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.