Senior Platform & Reliability Engineer

About the Role

OpenArt is a leading AI image generation platform trusted by over 1M+ creators, empowering the next wave of visual creativity.

Why Join Us

• One of the fastest growing AI startups in visual storytelling with 7M+ monthly users
• $70M ARR powered by a 20 person team
• Close collaboration with OpenAI and Google on frontier multimodal models
• Founder-led engineering culture. High ownership, low process, we value judgment, clarity, and speed over bureaucracy

Responsibilities

• Define and operationalize SLOs/SLIs across critical user journeys (generation, editing, payments/credits, uploads), and use them to guide prioritization and tradeoffs
• Participate in an on-call rotation and improve incident response (alert quality, runbooks, escalation paths), including leading blameless postmortems and driving follow-through on action items
• Improve system resilience at external boundaries (AI providers, storage, etc.), including timeouts, retries, circuit breakers, and fallback strategies
• Build and maintain end-to-end observability (logs, metrics, traces, dashboards) so engineers can quickly understand 'what broke' and 'why.'
• Strengthen deploy safety through CI/CD improvements, automated rollbacks, canary releases, and feature flag patterns
• Contribute to the evolution of our infrastructure architecture, helping evaluate when to extend serverless patterns vs. adopt containerized or more managed approaches as we scale
• Improve cost visibility and efficiency, including per-request cost attribution, caching strategies, and capacity planning
• Act as a strong technical contributor, helping improve engineering practices, tooling, and system design decisions across the team

Required Qualifications

• 5+ years building and operating production systems where reliability and scaling are important
• Strong software engineering skills — you can build and ship production code, not just configure infrastructure
• Experience with cloud-native systems (AWS or GCP), including serverless/event-driven architectures and at least one container-based approach (e.g., ECS/Fargate, Cloud Run, Kubernetes)
• Solid understanding of observability and reliability practices: metrics, alerting, tracing, and incident response
• Experience designing resilient systems with external dependencies (timeouts, retries/backoff, idempotency, circuit breakers)
• Ability to communicate technical tradeoffs clearly to engineers across different domains
• Comfortable operating in ambiguous, fast-moving environments and taking ownership of problems

Preferred Qualifications

• Experience building internal platform abstractions (e.g., job orchestration, API layers, workflow systems) that improve team velocity
• Track record of improving reliability metrics (e.g., MTTR, SLO attainment, latency) or reducing infrastructure cost
• Experience working in a startup or high-growth environment, with broad ownership across systems

This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams.