Serhant

Serhant

Senior Full Stack Engineer

Remote, USA · Senior

Work authorization requiredDetected 85 days ago
TypeScriptPythonReactNext.jsVue.jsSvelteReact NativeNode.jsExpressFull-Stack DevelopmentCode ReviewPostgreSQLAzureGraphQLLLMsCommunication

About the role

  • We're looking for a Senior Full-Stack Engineer who thrives across the stack and refuses to be boxed in.
  • You move fluidly between frameworks - Next.js to Hono APIs to SvelteKit to Postgres - without friction or hand-holding.
  • AI tools are part of your daily toolkit, and you write specs that make implementation straightforward.

Responsibilities

  • Build and ship features across frontend and backend systems
  • Collaborate with product and design to translate requirements into working software
  • We expect every member of the SERHANT. community to do their part to cultivate and maintain an environment where everyone has the opportunity to feel included and is afforded the respect and dignity they deserve.
  • We examine our unconscious biases and take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.

Requirements

  • 5+ years of professional software engineering experience across frontend and backend
  • Strong TypeScript proficiency - it's your primary language
  • Experience with multiple frontend frameworks (React, Svelte, Vue - you're not married to one)
  • Familiarity with lightweight API frameworks like Hono, Express, or Fastify
  • Familiarity with event-driven architectures and message queues
  • Hands-on experience with frontier LLMs beyond surface-level prompting
  • Experience with Expo/React Native
  • To be considered for any of our open roles, candidates must be currently authorized to work in the United States without the need for sponsorship now or in the future.
  • Framework fluency - you pick up new frameworks quickly and don't have strong allegiances
  • moving from Next.js to SvelteKit to Hono feels natural, not stressful
  • Deep Postgres experience - you understand indexing, query optimization, and schema design
  • Heavy daily use of AI coding assistants - you've developed workflows that make you faster
  • A spec-driven approach - you define what you're building with precision before you start
  • Background with GraphQL, serverless architectures, or ClickHouse
  • Background in real estate, marketplaces, or consumer products

Skills

  • Relentlessly curious - you dig into new tools and technologies before they have comprehensive documentation
  • Comfortable with ambiguity - you can pick up bleeding-edge LLM tools and make them productive without hand-holding
  • Framework-agnostic - you see frameworks as tools, not identities; learning a new one is Tuesday, not a career change
  • Self-directed - you identify what needs to be done and do it
  • Compensation
  • The national base pay range for this position within the United States is $180,000.00 USD.
  • Your Location
  • This position is remote eligible.
  • Hiring Statement
  • SERHANT. is committed to providing a workplace free from discrimination or harassment.

Compensation

  • Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location.
  • The national base pay range for this position within the United States is $180,000.00 USD.
  • Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to prompt you to pay a fee for services related to recruitment or training.

Visa & Work Authorization

  • At this time, we are not able to offer H-1B visa or any other work authorization sponsorship.
  • To be considered for any of our open roles, candidates must be currently authorized to work in the United States without the need for sponsorship now or in the future.

This listing is sourced directly from Serhant's careers page and normalized into a canonical job model.