Staff Software Engineer

🕒 3 dias atrás

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Digible, Inc

SiteLinkedInTodas as Vagas

51 - 200 funcionários

📣 Marketing

🏠 Imobiliário

☁️ SaaS

💰 $250.000 Seed Round em 2018-04

Marketing • Real Estate • SaaS

A Digible, Inc. é uma agência de marketing inovadora que se especializa na indústria multifamiliar. A empresa fornece estratégias personalizadas de mídia paga e mídia orgânica, aproveitando tecnologia inovadora e análises orientadas por dados para aumentar a visibilidade e a reputação dos clientes. A Digible, Inc. oferece serviços que incluem SEO, marketing de mídia social e gerenciamento de reputação, com forte foco em programas mensuráveis e centrados no cliente. Como parceiro certificado do Google e Meta Business, a Digible é reconhecida por seu compromisso com a transparência na precificação e relatórios, promovendo uma cultura de paixão e felicidade no setor multifamiliar. A empresa é conhecida por sua abordagem transformadora ao marketing de apartamentos, esforçando-se para redefinir os padrões da indústria.

Descrição

• Embed in key initiatives or pods and ship meaningful product features using advanced engineering practices. • Think product-first by owning outcomes, not just tickets, and ensuring your work delivers real customer impact. • Design, build, and ship features end-to-end, from problem definition through production. • Use AI as a core part of your workflow, including writing specs, generating code, critically evaluating outputs, and improving development loops. • Practice and model augmented coding while maintaining high standards for code quality, testing, system design, and deployment confidence. • Pair with engineers inside their actual workflows to transfer practices through collaboration, not instruction. • Drive ambiguous or high-impact problems when the path forward is unclear. • Make thoughtful technical decisions with incomplete information and adjust when data or production reality points to a better path. • Contribute across the full stack, including Node, TypeScript, React, SQL, and cloud-native services across AWS and GCP. • Shape the technical foundation alongside feature work, including service boundaries, data flows, APIs, observability, reliability, and deployment practices. • Debug complex issues across distributed systems and make architectural decisions that hold up beyond a single feature. • Own production systems, including observability, reliability, deployments, postmortems, and on-call responsibilities. • Improve and evolve large, interconnected production codebases with empathy for legacy systems and the teams that maintain them. • Influence technical direction within your pod and contribute to broader engineering improvements across pods. • Leave systems, practices, and teams better than you found them.

🎯 Requisitos

• 10+ years of professional software engineering experience building and shipping products that matter. • Deep fluency in at least one modern typed web stack. We use Node, TypeScript, React, and SQL; depth of judgment and ability to transfer skills matter more than an exact technology match. • Strong systems thinking, including architectural judgment across domains, debugging across service boundaries, and sound decision-making under pressure. • Experience owning services end-to-end, including build, deploy, run, monitoring, observability, on-call support, and postmortems. • Familiarity with cloud environments such as AWS, GCP, or similar. • Strong production instincts and experience making decisions that keep systems healthy over time. • Legacy empathy and a thoughtful approach to modernizing large existing codebases while keeping production systems stable. • Strong testing standards, including experience establishing or improving testing practices for teams. • Ability to navigate and improve large, existing codebases quickly. • Comfort working in ambiguous, fast-moving environments with shifting priorities, loose structure, and multiple hats. • Strong communication skills, with the ability to translate between engineering depth, product needs, and business context. • Experience collaborating cross-functionally with Product and Design as true peers. • A product mindset, starting with the customer problem, challenging assumptions, and connecting technical decisions to business outcomes. • Significant experience using AI tools to improve development workflows and outcomes, with concrete examples of faster delivery, higher quality, fewer handoffs, or fundamentally different workflows. • A track record of mentoring, pairing, elevating other engineers, and influencing without authority.

🏖️ Benefícios

• 4-Day Work Week (32 Hour Work Week) • WFA (Work From Anywhere) OR 1 Day / Week Remote • Discretionary Bonus • 3 weeks of PTO as well as Sick leave, and Bereavement • 11 paid holidays! (not counting ones that fall on Friday!) • 401(k) + Match • 75% Employer Paid Health Benefits (Medical, Dental, and Vision) • Mental and Physical Wellness Reimbursement Benefit • $1000/year travel fund for employees who have been with Digible 3+ years • Paid Parental Leave • Dog-Friendly Office • Monthly Social Events • Weekly lunches and snacks for in office employees!