Sr. Site Reliability Engineer
External
St-labs · Nyc, NYPrepare for this interview
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About the role
We're looking for a Senior Site Reliability Engineer (SRE) to own the reliability, performance, and scalability of our AI-native platform. You'll operate at the intersection of software engineering and infrastructure, building systems that keep our platform highly available, observable, and resilient in production. This is a hands-on engineering role where you'll write production code (primarily in Python) while also owning on-call operations and incident response.
Responsibilities
- Reliability & Production Ownership
- Own the availability, latency, and performance of critical production systems
- Participate in and improve a 24/7 on-call rotation, responding to incidents and driving resolution
- Lead incident response, root cause analysis (RCA), and postmortems
- Design systems that fail gracefully and recover automatically
- Automation & Engineering (Python-heavy)
- Write production-grade Python code to:
- Automate infrastructure workflows
- Build internal reliability tools
- Improve deployment, rollback, and recovery systems
- Eliminate manual operational work through automation and self-healing systems
- Observability & Monitoring
- Design and implement:
- Metrics, logging, tracing
- Alerting systems (reduce noise, improve signal)
- Build dashboards and tooling to give real-time visibility into system health
- Infrastructure & Scalability
- Operate and improve systems running on:
- Cloud platforms (AWS/GCP/Azure)
- Containers (Docker, Kubernetes)
- Scale systems to handle enterprise workloads and high-throughput traffic
- Improve deployment pipelines, CI/CD, and infrastructure-as-code
- Reliability Engineering & Resilience
- Define and enforce:
- SLAs / SLOs / error budgets
- Conduct:
- Load testing
- Chaos testing
- Build resilient systems that can tolerate failure
- Collaboration
- Partner with product and backend engineers to:
- Improve system reliability
- Embed observability into services
- Help teams design production-ready systems from day one
Requirements
- Core Requirements
- Strong software engineering background (not just ops)
- Proficiency in Python (required) for building tools and services
- Experience operating production systems at scale
- Infrastructure & Systems
- Experience with:
- Kubernetes / Docker
- Cloud platforms (AWS/GCP/Azure)
- Distributed systems
- Reliability & Operations
- On-call rotations and incident response
- Monitoring tools (Grafana, Prometheus, etc.)
- Debugging production issues under pressure
- AI/ML systems or data pipelines
- Event-driven architectures
- High-availability systems
Benefits
Additional Information
Standard Template Labs is an AI-native startup reimagining the future of IT Service and Configuration Management. Backed by leading investors, we're leveraging AI to transform how enterprises manage and engage with their IT ecosystems.
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