Product Engineer, Ona
Build backend infrastructure and customer-facing workflows that enable developers and AI agents to operate reliably in secure cloud environments. The role requires strong Go and production backend experience, distributed-systems expertise, and practical knowledge of cloud infrastructure, networking, and security.
About the job
Responsibilities
- Work directly with customers to build developer and security workflows, from project setup through investigating findings, reviewing agent-generated changes, and verifying fixes.
- Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and developer tools.
- Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery.
- Build security into execution workflows through permissions, credential handling, isolation, and auditability.
- Own production quality through testing, safe rollouts, observability, performance, and operational reliability.
- Partner with frontend and design colleagues to make complex backend capabilities straightforward to use.
Requirements
- Strong Go skills and experience building and operating production backend systems.
- Understanding of distributed systems, concurrency, state, failures, and recovery.
- Practical experience with Linux, containers, cloud infrastructure, and networking, including routing, DNS, and secure connectivity.
- Ability to design clear APIs and data models for complex workflows.
- Product mindset, customer focus, and ownership from problem discovery through launch and iteration.
- Clear technical communication and effective cross-functional collaboration.
Nice-to-haves
- Experience building on AWS, Google Cloud, or Azure.
- Experience with developer platforms, workflow engines, Kubernetes, networking, sandboxing, identity systems, security products, or AI-agent workflows.
- Frontend experience.
Skills
Go, Backend Systems, Distributed Systems, Concurrency, Linux, Containers, Cloud Infrastructure, Networking, APIs, Data Modeling, AWS, GCP, Azure, Kubernetes, Ci
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