Foundations Engineer (Deep Platform)

About the role

The Platform Engineer (Infrastructure + Platform Systems) role at Rox is part of the Foundations team. This team builds the platform and infrastructure powering Rox agents, focusing on real-time context ingestion, agent execution and orchestration, reliability for long-horizon AI tasks, developer infrastructure, and platform tooling.

Responsibilities

• Design and build core infrastructure powering Rox agents.
• Improve the reliability, scalability, and observability of distributed systems.
• Build and maintain cloud infrastructure, deployment systems, and platform tooling.
• Develop systems for real-time context ingestion and low-latency retrieval.
• Support execution frameworks for long-running agent workflows.
• Improve developer experience through automation, tooling, and self-service infrastructure.
• Partner closely with product engineers and forward deployed engineers to enable rapid iteration in production environments.
• Help establish engineering standards around monitoring, incident response, performance, and operational maturity.
• Ship production systems quickly and evolve them based on real-world usage.

Requirements

• Experience building and operating production infrastructure and backend systems.
• Strong experience in cloud infrastructure, platform engineering, or distributed backend systems.
• Familiarity with areas such as Kubernetes and container orchestration, cloud infrastructure (AWS/GCP), CI/CD and developer platforms, distributed systems and event-driven architectures, observability and reliability engineering, real-time data or streaming systems.
• Strong intuition for reliability, scalability, latency, and operational tradeoffs.
• Comfort debugging production systems and solving problems across infrastructure and application layers.
• A bias toward shipping, learning from production, and continuously improving systems.
• Ability to work across both platform and infrastructure domains depending on company priorities.

Qualifications

• Experience with real-time data or streaming systems.
• Understanding of low-latency decisioning across distributed systems.
• Experience with agent execution frameworks for long-running workflows.
• Knowledge of observability and reliability engineering.

Skills

• Strong problem-solving skills.
• Experience with cloud platforms like AWS or GCP.
• Proficiency in scripting languages such as Python or Bash.
• Experience with containerization tools like Docker.
• Experience with CI/CD pipelines.
• Experience with distributed systems and microservices architecture.

Benefits

• Competitive compensation package.
• Health insurance coverage.
• Flexible working hours.
• Professional development opportunities.
• Work-life balance initiatives.

Pay

Salary range: $150,000 - $200,000 annually.

Schedule

Full-time position.