Senior Software Engineer New

Keebo, Inc.; United States; Remote; USD 170,000 - 200,000; Full time

Benefits offered by this job

Equity

Medical, dental, vision benefits

Home office stipend

Paid time off and parental leave

Access to latest AI tools

Job summary

Keebo, Inc. is hiring for an experienced software engineer to join our AI-first team. You will design scalable systems that process large volumes of customer warehouse data and mentor engineers in using AI coding tools effectively.

This fully remote role requires strong architectural judgment and the ability to adapt as tools evolve. Core hours align with US Eastern Time. We value experience with cloud platforms, containers, and automated deploy pipelines, and welcome candidates who can write

Qualifications

• 5+ years of software engineering experience, including time at an early-stage startup.
• Deep experience with AI coding agents and scaling their use across a team.
• Judgment to catch problematic AI output, especially with customer data.
• Track record of scaling systems as load, data, and customers grow.
• Strong architectural skills with demonstrable examples.
• Good sense for when to ship simple vs. reliable solutions.
• Experience with cloud platforms, containers, and automated deploy pipelines.
• Clear, written communication; collaborative teammate.

Responsibilities

• Design reliable systems that process large volumes of customer warehouse data.
• Use AI coding tools effectively by writing clear specs and context.
• Build shared AI workflows, guardrails, and review standards.
• Evaluate new tools and models and share worthy ones with the team.
• Write architecture docs explaining tradeoffs and decisions.
• Understand customer needs and decide what’s worth building.
• Mentor engineers and work effectively with AI coding tools.

Skills

Software engineering

AI coding agents

System design

Cloud platforms

Architectural skills

Collaborative communication

Mentoring

Tools

Docker

Kubernetes

Job description

Keebo automatically optimizes cloud data warehouses for Snowflake and Databricks to control compute costs without hurting query performance. Our platform learns each customer's workloads and adjusts warehouse settings in real time, so data teams don't have to. We're venture-backed, built on years of database and machine learning research, and fully remote.

About the Opportunity

We're an AI-first engineering team. We use agents across design, implementation, review, and testing, and we hold their output to the same standard as any other pull request: read it, question it, and reject it when it’s wrong. We adopt new tools and processes quickly, and we drop what isn’t working.

You Will

• 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

You Have

• 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
• 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

Bonus Points

• 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

Compensation and Location

The base salary is $170,000 to $200,000 for US-based candidates, plus equity. The role is fully remote and open to candidates living in the United States with authorization to work there. Visa support will not be provided. Core hours align with US Eastern Time.

What we Offer

Working with a world-class team of researchers and engineers in machine learning to turn AI algorithms into scalable and automated cloud products

For full-time positions:

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

Identity Verification

We verify every candidate's identity and location through on-camera interviews, ID verification, and a background check. Equipment ships only to your verified address. Misrepresenting your identity, location, or work history ends your candidacy or employment. Keebo complies with US sanctions and export control laws.

Keebo is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, gender, national origin, age, disability, genetic information, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We strive to create a diverse and inclusive workplace where everyone feels valued and respected. We encourage individuals from all backgrounds to apply.