Senior Backend Engineer, Distributed Systems and Applied AI

Who are we

We're a team of engineers and architects building core engineering platforms for Oracle SaaS, including Fusion Applications. Our mission is to help developers and operators across Oracle SaaS understand, troubleshoot, and optimize complex services with speed, confidence, and intelligence.

We've built a Kubernetes-native, cloud-first observability platform that goes far beyond monitoring. It supports global-scale telemetry, real-time querying, and rich signals across metrics, logs, traces, and service behavior. Our systems process billions of telemetry signals daily from millions of compute nodes worldwide, using lightweight agents and edge components that run close to the services they observe. We build on open source ecosystems such as OpenTelemetry, Kubernetes, and other cloud-native technologies, while extending them through internal innovation for Oracle SaaS's scale and complexity.

Looking ahead, we're building toward an AI-native observability platform for Oracle SaaS. Our ambition is to evolve systems that have traditionally served human engineers into platforms designed for both AI-assisted workflows and autonomous AI agents. This means making our services, APIs, data models, and tools natively usable by AI building cost-efficient telemetry pipelines and distributed lakehouse architectures for large-scale AI analysis and expanding into advanced signals such as continuous profiling, where AI can make complex performance data easier to understand and act on.

What makes this role unique

• Combine engineering, exploration, and operations to build systems that span high-volume data processing, real-time querying, developer workflows, and edge data collection
• Own critical platform components and shape how engineers interact with telemetry, service context, and AI-assisted workflows at global scale

• Build for thousands of Oracle SaaS engineers who use the platform every day to develop, debug, and operate services, with direct feedback on what helps, what hurts, and what needs to improve
• Help define the next chapter of AI-native observability for Oracle SaaS, moving from dashboards and manual investigation toward intelligent workflows powered by telemetry, context, and AI assistants and agents

What we're looking for

• Strong backend engineering fundamentals, with experience designing and maintaining reliable, scalable services or distributed systems
• Proficiency in one or more systems-oriented languages such as Go, Java, or Rust our team primarily uses Go
• Hands-on experience with Kubernetes-native environments and cloud infrastructure such as OCI, AWS, GCP, or Azure
• Ability to solve complex engineering problems in areas such as performance, scalability, reliability, data processing, cost efficiency, or developer experience
• Strong product sense and empathy for engineers who depend on internal platforms to develop, debug, and operate services
• Ability to write clear technical designs, communicate tradeoffs, and collaborate across teams
• For senior candidates, experience leading design efforts, mentoring engineers, and owning production systems through their full lifecycle

Level Flexibility

This role is primarily scoped for senior engineers, typically IC4-IC6. We are also open to exceptional earlier-career engineers who demonstrate strong fundamentals, high learning velocity, and clear potential to grow into broad technical ownership. If you're excited about the mission but unsure whether you meet every listed criterion, we encourage you to apply.

Bonus skills

• Exposure to AI/ML in production systems, especially for infrastructure or engineering platform use cases
• Experience with large-scale, high-throughput, or globally distributed backend systems
• Experience contributing to open source projects or working with open source ecosystems in production
• Familiarity with observability or SRE domains, either as a user of telemetry platforms or as a builder of engineering tools

What you'll do

• Design and build backend systems that power telemetry collection, analysis, and developer-facing tools
• Drive architectural efforts to improve scale, performance, cost efficiency, reliability, and operational simplicity
• Collaborate across our global engineering team and with thousands of Oracle SaaS engineers who depend on our services
• Take ownership of services and components-from architecture and implementation to production operation and long-term evolution
• Grow into a subject matter expert in key areas of the platform
• Participate in a global on-call rotation as part of shared responsibility for the systems we run

How we work

We are a globally distributed, remote-friendly team, with many members working from home across multiple time zones. Most of our team is located in the U.S. and India, and we collaborate with SaaS engineers around the world. We value clear communication, async-friendly workflows, and a culture of trust and ownership.

Career Level - IC5