Core Engineering
Rox Data Corp5 months ago
Responsibilities
- Build infrastructure for reliable autonomous agent execution.
- Design systems for deterministic and auditable agent behavior under enterprise SLAs.
- Develop low-latency retrieval and context systems for AI workflows.
- Build and scale graph-based infrastructure and semantic retrieval systems.
- Improve observability, debugging, and reliability across distributed agent systems.
- Work on real-time data ingestion and streaming architectures.
- Collaborate with platform, AI, and product engineering teams.
- Help shape the long-term architecture of Rox’s agent runtime.
Requirements
- Strong background in distributed systems or platform engineering.
- Experience building and operating high-scale backend infrastructure.
- Strong fundamentals in networking, concurrency, storage, and reliability.
- Experience with streaming systems, distributed databases, or real-time infrastructure.
- Ability to independently design and ship complex technical systems.
- Strong product and engineering judgment.
- Relevant experience with areas such as Apache Flink, distributed query engines, real-time OLAP systems, graph retrieval, semantic search infrastructure, streaming compute, large-scale platform engineering, or AI infrastructure and orchestration systems is particularly valued.
- Open source contributors, infrastructure specialists, and technical force multipliers are encouraged to apply.
Benefits
- Onsite role in San Francisco.
- Rox actively relocates exceptional engineers from around the world.
Tech Stack
Apache Flink
Categories
About Rox Data Corp
Rox Data Corp builds AI-powered software and agentic automation to help sales, RevOps, and finance teams secure and grow revenue. Its products cover sales automation, revenue assurance, and fintech workflows, offered as subscription software and services. Founded in 2024 and headquartered in San Francisco, the privately held company maintains an in-office, five-days-a-week policy.