Data Engineering/Research

Convalesce is seeking data engineers to provide practical insights into production failures, incident response, and engineering workflows. The role involves discussing root-cause investigation, workflow recovery, monitoring, debugging, and opportunities for automation, AI, and future technical collaboration.

Responsibilities:

• Participate in research conversations about production failures and incident response
• Share how you investigate root causes, assess downstream impact, and restore affected workflows
• Discuss the tools and processes you use for monitoring, debugging, and recovery
• Identify recurring challenges, manual work, and gaps in existing solutions
• Explore where automation and AI could support engineering teams
• Discuss potential areas for further technical or research collaboration

Requirements:

• Hands-on experience in data engineering, software engineering, platform engineering, or infrastructure reliability
• Experience building, operating, or troubleshooting production data workflows
• Familiarity with data pipelines, databases, orchestration tools, or observability systems
• Interest in sharing practical experiences and exploring improvements to engineering workflows