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Salary
$180k – $250k per year
Location
Remote (United States)
Seniority
Staff · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Jobgether is a Belgian recruitment platform built entirely around remote and flexible work, aggregating openings from thousands of employers that allow work from outside an office. Its matching engine ranks roles against a candidate's skills, seniority and stated preferences on location and flexibility, rather than leaving people to filter a keyword search, and it verifies how genuinely remote each posting is. The company also runs an AI screening layer that shortlists applicants for employers, and publishes research and guidance on distributed work practices alongside the job marketplace itself.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Full Stack Software Engineer based in the United States.

This is a high-impact, full-stack engineering role for a senior technical leader who enjoys owning problems from initial discovery through production.

You’ll work across a modern Python/Django backend and React/TypeScript frontend, turning ambiguous customer and operational needs into reliable products.

The role offers substantial autonomy within a lean engineering environment where engineers are accountable for outcomes, not simply tickets.

You’ll influence architecture, data models, APIs, integrations, testing, security, and production operations across meaningful initiatives.

AI is embedded into the engineering workflow, giving you the opportunity to accelerate investigation, development, testing, debugging, and review.

You’ll collaborate closely with Product, Design, Operations, and other stakeholders while maintaining strong technical ownership.

This opportunity is well suited to an experienced engineer who combines strong execution, sound judgment, and a systems-level mindset.

Accountabilities:

    • Own full-stack product and operational initiatives from problem framing and planning through implementation, launch, and production validation.
    • Translate ambiguous business and customer needs into practical technical plans, milestones, and shippable increments.
    • Design, build, and maintain reliable applications across Python/Django backend services and React/TypeScript frontend experiences.
    • Make thoughtful architectural decisions spanning data models, APIs, integrations, testing, security, failure handling, and production operations.
    • Use AI tools throughout the software development lifecycle to increase speed, quality, and engineering scope while maintaining accountability for the resulting work.
    • Rigorously validate AI-assisted output and apply engineering judgment when automated approaches are insufficient.
    • Partner directly with Product, Design, Operations, and other stakeholders to understand underlying problems and define measurable outcomes.
    • Communicate project progress, technical decisions, risks, dependencies, and blockers clearly and proactively.
    • Diagnose production incidents using logs, metrics, traces, profiling, and other operational evidence; restore service responsibly and implement improvements that prevent recurrence.
    • Improve engineering systems, tooling, automation, and development practices to help the broader team work more effectively.
    • Contribute to scalable solutions involving integrations, asynchronous processing, third-party services, workflows, and other complex production systems.
    • Requirements

      • 5+ years of professional software engineering experience with demonstrated ownership of meaningful production outcomes.
      • Strong backend development expertise with Python and Django.
      • Proven experience building user-facing applications with React and TypeScript.
      • Experience designing and integrating APIs, relational data models, and third-party services.
      • Strong understanding of automated testing, security, data integrity, failure handling, maintainable software design, and production reliability.
      • Experience diagnosing production behavior through logs, metrics, traces, profiling, and other operational signals.
      • Meaningful professional experience incorporating AI tools into engineering workflows, with the ability to assess and validate AI-generated work critically.
      • Ability to explain technical decisions, tradeoffs, risks, and measurable results to both technical and non-technical stakeholders.
      • Strong written and verbal communication skills, particularly in a remote and cross-functional environment.
      • Experience working in lean product organizations with significant engineering autonomy is highly valuable.
      • Experience with marketplaces, matching, routing, lead management, workflow automation, or other multi-sided products is a plus.
      • Familiarity with integration-heavy systems involving CRMs, communications platforms, webhooks, asynchronous jobs, or third-party APIs is preferred.
      • Experience with PostgreSQL and background-processing technologies such as Celery is advantageous.
      • Experience delivering complete features across backend and frontend systems, as well as handling incidents, migrations, concurrency, and data-quality challenges, is a strong plus.
      • Experience transforming successful AI workflows into reusable automation, tooling, or team practices is desirable.
      • Benefits

        • $180,000-$250,000 total compensation package.
        • Comprehensive medical, dental, vision, and life insurance.
        • 18 days of paid time off, increasing with tenure, plus 10 paid holidays.
        • Annual professional development budget for learning and career growth.
        • Paid tenure sabbaticals to recognize major career milestones.
        • Access to exclusive homeownership-related product benefits.
        • Work-from-home stipend to support a productive remote workspace.
        • 401(k) retirement plan.
        • 6-12 weeks of paid parental leave.
        • Wellness benefits, including free counseling sessions and optional weekly meditation.
        • 100% remote work within the United States.
        • High-autonomy environment with opportunities to influence engineering practices, systems, and product outcomes.
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