Staff Software Engineer

🕒 il y a 10 jours

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Digible, Inc

Site WebLinkedInTous les Emplois

51 - 200 employés

📣 Marketing

🏠 Immobilier

☁️ SaaS

💰 €250 000 Seed Round en 2018-04

Marketing • Real Estate • SaaS

Digible, Inc. est une agence de marketing avant-gardiste spécialisée dans l'industrie multifamiliale. L'entreprise fournit des stratégies de médias payants et de médias organiques personnalisées, en s'appuyant sur des technologies innovantes et des analyses basées sur les données pour améliorer la visibilité et la réputation des clients. Digible, Inc. propose des services incluant le SEO, le marketing sur les réseaux sociaux, et la gestion de la réputation, avec un fort accent sur des programmes centrés sur le client et mesurables. En tant que partenaire certifié Google et Meta Business, Digible est reconnue pour son engagement envers la transparence des prix et des rapports, favorisant une culture de passion et de bonheur dans le secteur multifamilial. L'entreprise est connue pour son approche transformative du marketing des appartements, s'efforçant de redéfinir les normes de l'industrie.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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!