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Staff Software Engineer - Supernal

principalremoteRemoteСкор undefined/1002нед назад
Аналитика рынка
📊 DevOps / SRE: зарплаты и спрос на рынке
Стек
celeryci/cddjangogkehelmkubernetespgvectorpostgresqlterraform
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Описание
Staff Software Engineer About Supernal Supernal helps small-to-medium businesses hire their first AI employee. Our AI teammates are built using intelligent, agentic workflows deployed on a proprietary platform. We deliver working, value-generating AI Employees—not tools—that handle real business processes alongside human teams. The Role We're looking for a Staff/Principal Software Engineer to own and evolve the core platform that powers our AI employees. This is a technical leadership position responsible for the systems that enable our agents to scale reliably: the Django backend, distributed task infrastructure, event-driven architecture, Kubernetes deployments, and observability stack. You'll work across the full system—from database query optimization to Helm chart tuning to designing new platform abstractions. You'll be a force multiplier for the engineering team, driving architectural decisions, eliminating scaling bottlenecks, and establishing patterns that make the platform more robust and developer-friendly. This role reports to the Director of Engineering and involves significant autonomy in shaping technical direction. What You'll Own 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 au
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