
1 - 10 employees
Founded 2023
🤝 B2B
💳 Fintech
AI • B2B • Fintech
Infinity Constellation is the first AI Holding Company dedicated to helping elite founders build AI companies that can operate at unprecedented speeds. By leveraging advanced AI platforms, Infinity Constellation aims to reinvent traditional venture models, focusing on efficient structures that allow businesses to generate profits rapidly with minimal resources. The company supports its portfolio through various operational services, enabling founders to scale and thrive in the rapidly evolving AI landscape.
🕒 April 16
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1 - 10 employees
Founded 2023
🤝 B2B
💳 Fintech
AI • B2B • Fintech
Infinity Constellation is the first AI Holding Company dedicated to helping elite founders build AI companies that can operate at unprecedented speeds. By leveraging advanced AI platforms, Infinity Constellation aims to reinvent traditional venture models, focusing on efficient structures that allow businesses to generate profits rapidly with minimal resources. The company supports its portfolio through various operational services, enabling founders to scale and thrive in the rapidly evolving AI landscape.
• 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
• 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)
• 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
Apply Now🕒 April 15
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