[Remote] Senior Software Engineer

Note: The job is a remote job and is open to candidates in USA. Keebo builds a platform that automatically optimizes cloud data warehouses for Snowflake and Databricks. The Senior Software Engineer will design and scale the platform’s systems, use AI tools to improve engineering workflows, and work with product to turn customer problems into shipped features.

Responsibilities

• Design reliable systems that process large volumes of customer warehouse data
• Use AI coding tools effectively by writing clear specs and context, running agents on parallel workstreams, and reviewing their output critically
• Build shared AI workflows, guardrails, and review standards that make everyone move faster
• Evaluate new tools and models, and share the worthy ones with the team
• Write architecture docs that explain what we're building, the tradeoffs, and why
• Understand customer needs and decide what's worth building
• Mentor engineers, including working effectively with AI coding tools

Skills

• 5+ years of software engineering experience, including time at an early-stage startup (Seed through Series B)
• Deep experience with AI coding agents, and examples of how to scale their use across a team
• The judgment to catch AI output that is wrong, incomplete, or risky, especially with customer data, and the habit of adapting as tools change
• A track record of scaling systems as load, data, and customers grow
• Strong architectural skills, with examples
• Sound tradeoffs: you know when to ship something simple and when reliability, data integrity, or architecture can't wait
• Proficiency in Java, Python, Go, or JavaScript/TypeScript, plus strong SQL
• Experience with cloud platforms, containers, and automated deploy pipelines
• Clear, collaborative communication, especially in writing: you explain what matters and why
• Persistence and a constructive attitude when things break or plans change
• Candidates living in the United States with authorization to work there
• Visa support will not be provided
• Experience with data cloud platforms
• Especially Snowflake or Databricks
• Experience with Angular
• Experience building AI agents, agent tooling, or Model Context Protocol servers
• Knowledge of query optimization, machine learning, or algorithm development

Benefits

• Equity
• Medical, dental, and vision benefits
• 401(k) retirement program
• Home office stipend
• Paid time off and paid parental leave
• The latest AI tools, and freedom to try new ones

Company Overview