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Strong employer brand, generalist software title, metro location, and broad skillset drive high competition.
Core fullstack skills are transferable, but ops and AI workflow emphasis creates moderate domain specificity.
Explicit years, production ownership, and cross-functional stakeholder skills impose moderate candidate filters.
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Own full-stack development for fellow-facing experiences (onboarding, homepage, project opportunities) and internal operational tools.
Partner closely with Growth, Product, Operations, and ML teams to translate business and operator workflows into scalable, reliable systems.
Lead end-to-end projects including technical design, implementation, rollout, and iterative improvements with focus on scalability and maintainability.
1-3+ years of professional software engineering experience with ownership of production systems end-to-end.
Experience leading technical projects involving multiple contributors.
Strong communication and stakeholder management skills with ability to translate ambiguous needs into technical solutions.
Work Experience Required: 1-3+ years in software engineering.
Engineer with strong systems thinking and engineering judgment, able to design scalable architectures and balance rapid product delivery with long-term platform health.
Experienced in building internal tools, automation, or workflow systems for operations-heavy teams or embedded customer-facing roles.
Comfortable working in fast-moving, ambiguous environments and collaborating closely with both technical and non-technical stakeholders.