Senior Platform & Reliability Engineer

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.

This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams

Hiring Company: OpenArt AI, Inc.

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

Salary: $250K/yr - $350K/yr

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 overbureaucracy

Role 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

Qualifications

Required

• 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

• 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

How can I join Jobright TNT:

If this is your first time applying to a Jobright TNT role, the process works as follows:

1. Apply to your first Jobright TNT role

2. We review your background to determine if you meet the TNT quality bar

3. If qualified, your application is directly recommended to the employer

4. Once accepted into TNT, you may be:

- Invited to apply for other exclusive TNT-only roles

- Invited to private, invite-only hiring events with top startups

You will be notified of your TNT selection result.

PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.