Software Engineer, Cloud

Our client is defining a new category of technology—the Agentic Data Plane (ADP)—which securely connects AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, their platform empowers real-time, autonomous agentic applications for a global roster of enterprise clients including tech giants, major telecom providers, and top-tier U.S. banks. Backed by tier-one venture capital firms, this is a diverse, people-first, and fully distributed global organization.

• 3+ years of experience designing and operating large-scale, highly reliable systems in public cloud environments.
• Proven track record of leading complex technical projects end-to-end, from initial design through production operations.
• Strong proficiency in Go or a comparable systems language with a strong willingness to ramp up quickly.
• Production-level experience with Kubernetes (running and operating workloads).
• Hands-on experience with at least one major cloud provider (AWS, GCP, Azure), including Infrastructure as Code (IaC).
• Experience utilizing AI-assisted software development tools (e.g., Claude Code, GitHub Copilot) to optimize engineering velocity.
• Familiarity with stream processing concepts.
• Superior written and verbal communication skills, comfortable working in a globally distributed, asynchronous environment.

• Design, build, and run ADP and cloud services across AWS, GCP, and Azure, spanning both control plane and data plane components.
• Translate ambiguous product requirements into robust technical designs and execution plans.
• Lead large-scale projects and contribute to cross-functional architecture discussions.
• Anticipate technical hurdles and proactively mitigate them to ensure high-quality, timely delivery.
• Set and maintain rigorous standards for reliability, scalability, performance, security, and observability.
• Build tools and services for automated infrastructure provisioning, deployment, and self-healing systems.
• Participate in the on-call escalation chain, driving initiatives to reduce escalations and improve long-term system health.