Zorky CRMZorky CRM
EN|RU
@ekaterinovikova
All jobs

Staff Software Engineer - Supernal

principalremoteRemoteScore undefined/1002w ago
Market insights
📊 DevOps / SRE: salaries and demand on the market
Stack
celeryci/cddjangogkehelmkubernetespgvectorpostgresqlterraform
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
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
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @ekaterinovikova