Senior Software Engineer – Core

🕒 il y a 16 jours

🇺🇸 États-Unis – Télétravail

💵 $150 000 - $195 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

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Cavnue

Site WebLinkedInTous les Emplois

51 - 200 employés

🚗 Transport

💰 €130 000 000 Series A en 2022-04

Transport • Technology

Cavnue se concentre sur la construction de l'avenir des infrastructures routières en intégrant la technologie pour tirer parti des avantages des véhicules connectés et autonomes. Leur travail vise à transformer le transport moderne en une expérience plus sûre, moins encombrée et plus durable grâce à la conception intelligente des infrastructures physiques et numériques. Un des principaux projets de Cavnue est le développement d'un corridor connecté dans le Michigan, représentant une avancée significative pour la mobilité du 21e siècle en Amérique et au-delà.

Description

• Build and maintain high-throughput, low-latency Python and C++ services, owning the full lifecycle from development to monitoring and incident response. • Design and optimize data structures, Protobuf serialization, and Redis Streams for real-time data processing workloads. • Architect and manage data pipelines from raw sensor ingestion to transformation, storage, and delivery. • Integrate low level, tracking, inference and sensor fusion algorithms into production services. • Develop REST APIs and internal/external service integrations. • Implement observability, CI/CD pipelines, and infrastructure as code (Terraform) for reliable, repeatable deployments. • Operate containerized services on Kubernetes (using Argo and Helm) in GCP; document systems, runbooks, and integrations. • Contribute to a healthy, high-trust engineering culture where good ideas can come from anywhere.

🎯 Exigences

• 5+ years of professional software engineering experience with a strong backend and systems focus. • Proficiency in Python and C++ in production environments, with the ability to choose the right tool for the job and ship quality code. • Strong fundamentals in algorithms, data structures, and systems design; able to reason about computational complexity and system behavior under constraints. • Experience building and operating real-time or streaming data systems (e.g., Redis Streams, Kafka, Pulsar, Flink). • Experience with scientific/numerical Python libraries (NumPy, SciPy, Pandas), GCP (or comparable cloud infrastructure), containerization (Docker/Kubernetes), and Infrastructure as Code/CI/CD pipelines (Terraform, GitHub Actions, GitLab CI, etc.). • Comfortable working in Linux and with agentic coding tools (e.g., Claude Code, Cursor, or similar AI-assisted environments). • You are a generalist who can ramp up quickly on unfamiliar domains, codebases, and technologies, keeping the product and users in mind. • Self-starter who spots gaps, proposes solutions, makes decisions with imperfect information, and drives work forward independently. • Strong communication skills to explain architectural decisions clearly to both technical and non-technical stakeholders. • BS in Computer Science, Engineering, or equivalent practical experience.

🏖️ Avantages

• Medical, dental, and vision benefits • Life insurance and disability insurance • 401(k) with company contribution • Paid Parental leave • Fertility and infertility benefits • Industry-competitive PTO • Learning and development opportunities