Staff Software Engineer - Supernal

Infinity Constellation; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Infinity Constellation is seeking a Staff Software Engineer to lead the evolution of its AI employee platform. This full-time position requires deep expertise in Python (Django preferred) and relational databases, particularly PostgreSQL. The role involves extreme ownership of backend platform performance, Kubernetes management, and scaling issues. Candidates should have over 10 years of experience, strong communication skills, and a track record in distributed systems. Competitive salary with remote work flexibility.

Qualifications

• 10+ years building and operating production backend systems at scale.
• Hands-on experience with cloud infrastructure is preferred.
• Strong background in debugging complex production issues.

Responsibilities

• Drive platform architecture decisions and align the team on scalable patterns.
• Review a high volume of code and architectural proposals.
• Own the core backend platform performance and correctness.

Skills

Python proficiency

Django expertise

PostgreSQL experience

Kubernetes knowledge

Distributed systems understanding

Asynchronous task systems

Clear technical communication

Tools

Celery

Dramatiq

GKE

Datadog

OpenTelemetry

Helm

Job description

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.

Staff Software Engineer

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 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

What We’re Looking For

Required

• 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

Preferred

• Experience with Temporal or similar workflow engines
• Background in LLM infrastructure, RAG systems, or AI/ML platforms
• Familiarity with OpenTelemetry, Datadog, or similar observability stacks
• Experience with KEDA or other Kubernetes autoscaling solutions
• Contributions to multi‑tenant SaaS platform architecture
• History of improving developer experience and platform abstractions

What Success Looks Like

• Platform services maintain high availability with predictable performance under load
• Scaling bottlenecks are identified and resolved proactively
• New features ship faster because platform primitives are well‑designed and documented
• Incidents are rare, quickly detected, and thoroughly addressed
• Engineers across the team adopt platform patterns and best practices
• Technical debt is systematically identified and paid down
• You’re a trusted technical voice in architectural discussions

Compensation & Logistics

• 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