Staff Software Engineer

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Infinity Constellation

Site WebLinkedInTous les Emplois

1 - 10 employés

Fondée en 2023

💼 Conseil

🏭 Fabrication

📦 Logistique

Consulting • Manufacturing • Logistics

Infinity Constellation est la première holding dédiée à l’IA, conçue pour aider des fondateurs d’exception à bâtir des entreprises capables d’opérer à une vitesse sans précédent. En s’appuyant sur des plateformes d’IA avancées, Infinity Constellation ambitionne de réinventer les modèles traditionnels de capital-risque, en privilégiant des structures efficaces qui permettent aux entreprises de générer rapidement des profits avec un minimum de ressources. La société soutient ses participations grâce à une gamme de services opérationnels, permettant aux fondateurs de passer à l’échelle et de prospérer dans un paysage de l’IA en évolution rapide.

Description

• Drive platform architecture decisions and align the team on scalable patterns and long-term maintainability • Review a high volume of code, design docs, and architectural proposals for scalability, reliability, security, and operability • Be a technical mentor and force multiplier: unblock engineers, raise the bar on production readiness, and establish platform best practices • Own and evolve the core backend platform (Django/DRF/ASGI) performance and correctness • Scale async execution across Celery + Dramatiq + Temporal/Cortex; implement resilient workflow patterns (retries, circuit breakers, graceful degradation) • Optimize PostgreSQL/pgvector (query tuning, connection pooling) and caching strategies • Maintain and improve Kubernetes deployment infrastructure (GKE, Helm, Terraform/OpenTofu) and CI/CD + rollout strategies. Own KEDA autoscaling policies and resource allocation across worker pools. • Own reliability of RabbitMQ, Redis, and PostgreSQL infrastructure; lead incident response and post-mortems • Extend OpenTelemetry + Datadog instrumentation, dashboards, alerts, and SLOs; profile and reduce latency/memory bottlenecks

🎯 Exigences

• 10+ years building and operating production backend systems at scale • Deep expertise in Python (Django preferred) and relational databases (PostgreSQL) • Hands-on experience with Kubernetes, Helm, and cloud infrastructure (GCP preferred) • Strong background in distributed systems: message queues, event sourcing, workflow orchestration • Production experience with async task systems (Celery, Dramatiq, or similar) • Track record of debugging complex production issues across multiple services • Ability to work autonomously and drive technical initiatives without close supervision • Clear technical communication—able to explain tradeoffs and build consensus • Experience with Temporal or similar workflow engines (preferred) • Background in LLM infrastructure, RAG systems, or AI/ML platforms (preferred) • Familiarity with OpenTelemetry, Datadog, or similar observability stacks (preferred) • Experience with KEDA or other Kubernetes autoscaling solutions (preferred) • Contributions to multi-tenant SaaS platform architecture (preferred) • History of improving developer experience and platform abstractions (preferred)

🏖️ Avantages

• Compensation: Competitive salary commensurate with experience (Staff/Principal level) • Location: Remote • Type: Full-time • Requirements: Overlap with Americas timezones for collaboration; reliable high-speed internet