Software Engineer II Risk Engineering

Datadog is hiring a Software Engineer II to strengthen our Risk Engineering this role you will help design and build AI-powered systems that transform how we manage risk at scale delivering practical solutions that thoughtfully balance compliance security and business objectives. Reporting to the Engineering Manager you will play a key role in scaling Datadogs risk management capabilities driving high-impact engineering outcomes and evolving our approach to meet emerging technologies and AI-driven workflows.

This role sits at the intersection of software engineering LLM systems and risk automation. Youll work primarily in Go while building and operationalizing AI-driven tooling centered around large language models (LLMs) prompt engineering evaluation frameworks structured data pipelines and intelligent risk workflows. This is not a traditional backend role were looking for an engineer excited about rapid prototyping experimenting with LLM capabilities and turning those experiments into production-grade systems that improve risk visibility and decision-making.

What Youll Do:

• Develop Go-based services that integrate with LLMs to automate and augment risk workflows.
• Use AI-assisted development tools to accelerate prototyping iteration and implementation.
• Design and implement prompt architectures for risk classification control mapping exception analysis and policy interpretation.
• Build structured evaluation frameworks to measure LLM quality hallucination rates determinism and decision accuracy.
• Implement automation for risk management workflows including triage remediation tracking exception handling and integrations with internal systems to improve scalability of the program.
• Build evaluation loops to continuously improve prompt performance and model outputs.
• Design schemas and structured data models for risk registers control libraries policy exceptions and evidence artifacts.
• Improve traceability between risks controls policies and exceptions using intelligent automation.

Who You Are:

• You have 2 years of experience in software engineering building and operating production systems at scale including deploying managing and troubleshooting services in Kubernetes environments.
• You have hands-on experience with a modern programming language (ideally Go and Python).
• You actively use AI-assisted coding tools (e.g. Cursor Claude Code Copilot) and are comfortable building systems.
• Comfort experimenting with LLM APIs (OpenAI Anthropic etc.) and building AI-powered tools.
• Experience working with APIs and distributed systems.
• Demonstrated ability to independently break down complex problems drive solutions and execute with minimal supervision.
• Strong written and verbal communication skills with the ability to clearly articulate technical concepts through RFCs design documents and architectural diagrams.
• Curiosity about AI systems and their limitations including an understanding of failure modes such as hallucination non-determinism and prompt brittleness.
• Solid foundation in software development best practices including code quality testing methodologies and maintainable scalable system design.
• Self-motivated and able to take initiative in building programs that scale impact across the organization.

Required Experience:

IC