Senior Software Engineer - Confluent Applied AI for DevProd

Your Role and Responsibilities

• Design and operate AI-assisted workflows for code review, ticket-to-PR flows, documentation, and CI/CD guardrails.
• Own projects end-to-end: from definition and design to implementation, rollout, and optimization.
• Build backend services and orchestration layers connecting LLMs to developer systems (GitHub, Jira, Slack, CI, and internal platforms).
• Translate ambiguous engineering challenges into practical, opinionated products that improve developer velocity and quality.
• Collaborate with platform teams to integrate AI workflows into standard runtimes, managed workloads, and deployment paths.
• Implement robust safety and governance, including access control, policy enforcement, and observability.
• Use data-driven metrics—adoption, reliability, and cost—to guide product iterations rather than anecdotal feedback.
• Maintain high engineering standards through clean, well-tested code and thoughtful design reviews.

Preferred Education

Master's Degree Required

Technical and Professional Expertise

• Experience building and operating backend production systems.
• Proficiency in at least one major language (e.g., Java, Go, Python).
• Experience building internal developer-facing platforms or workflow automation tools.
• Hands-on experience applying LLM techniques to software engineering workflows; ability to build reliable systems beyond generic prompting.
• Experience with cloud-native infrastructure, including containers and Kubernetes.
• Strong judgment on software quality, testing strategies, and operational guardrails.
• Product mindset: focus on user adoption, time-saving, and quality improvements.
• Effective collaboration skills across cross-functional boundaries.

Preferred Technical and Professional Experience

• Experience building AI-assisted workflows for code review, test generation, incident response, or developer onboarding.
• Integrating systems with developer tools (source control, CI, issue trackers, chat tools, internal portals).
• Familiarity with platform foundations like service runtimes, progressive delivery, and configuration systems.
• Expertise in distributed systems, developer productivity, or infrastructure-heavy environments.
• Experience creating opinionated paved paths and governance models.