Senior Software Engineer- Bits AI SRE

Details

• Work closely with product managers, designers, and engineers to build and iterate on AI-powered product experiences in Bits AI SRE.
• Develop customer-facing systems across chat, remediations, and codefixes that help users resolve production issues more quickly.
• Work on prompts, evaluation loops, and backend systems to make applied AI workflows reliable, useful, and production-ready.
• Prototype quickly, test what works in the real world, and iterate rapidly to ship new product capabilities.
• Build the infrastructure and product logic needed to connect AI outputs to meaningful actions, including operational remediations and generated code changes.
• Collaborate with partner teams across Datadog to expand remediation capabilities and integrate with systems that support investigation, automation, and code generation.
• Follow the latest developments in LLM prompting, agent design, and applied AI product development, and bring strong judgment about what is practical to use in production.
• You're an engineer with at least 5 years of professional experience, with strong backend engineering skills and a product mindset. You have experience building production systems in Go (or similar) and have worked with LLM-based systems in practice.
• You are excited about applied AI and motivated by building product experiences that help users take meaningful action, not just generate insights.
• You have experience with prompt engineering, evaluation, and iteration for LLM-powered systems, and know how to improve quality through experimentation and feedback.
• You have strong engineering fundamentals and can build the systems needed to productionize AI features, including integrating model behavior into reliable user-facing products.
• You are comfortable operating in a fast-moving environment with high ambiguity, and enjoy prototyping, learning quickly, and shipping early versions of new ideas.
• You collaborate well with cross-functional partners and can work effectively with product, design, and engineering to shape both the user experience and the technical implementation.
• You care about product quality and user outcomes, and can balance speed with pragmatism when building new AI-powered workflows.
• Bonus: you have experience with Kubernetes or systems related to production remediation and operational automation.
• Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Plus - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
• Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
• Have a lot of influence on product direction and impact on the business.
• Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn.
• Competitive global benefits.
• Continuous professional development.