Job Description
Convalesce
\n
We’re seeking data engineers who can contribute practical insights from their experience and help identify opportunities for automation, AI, and future collaboration.
\n
\n
What you’ll contribute
\n
- \n
- 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.
\n
\n
\n
\n
\n
\n
\n
\n
Relevant background
\n
- \n
- 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.
\n
\n
\n
\n
\n
\n
Interested?
\n
Share a brief introduction and your experience with production data systems. We’d welcome the opportunity to learn from your perspective and explore potential collaboration.