Senior Software Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Keebo

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 Series A on 2022-10

Consulting • Logistics • Marketing

Keebo is a company specializing in fully automated optimization solutions for Snowflake data warehouses. Known as "The Snowflake Savings Machine," Keebo uses its patented technology to automatically adjust settings like warehouse size, clustering, and memory to save customers significantly on their Snowflake costs. The platform is designed to be user-friendly and secure, using only telemetry metadata while offering full visibility and control over optimizations. Setup is simple, requiring only 30 minutes, and users can start realizing savings within 24 hours without impacting performance. Keebo's solution stands apart by delivering real-time cost optimizations and performance protection continuously, unlike other tools that only report data without taking proactive actions.

📋 Description

• Design reliable systems that process large volumes of customer warehouse data • Use AI coding tools by writing clear specs and context, running agents on parallel workstreams, and critically reviewing their output • Build shared AI workflows, guardrails, and review standards • Evaluate new tools and models and share worthwhile ones with the team • Write architecture documents explaining the systems, tradeoffs, and rationale • Understand customer needs and decide what is worth building • Mentor engineers, including effective use of AI coding tools • Work directly with product to turn customer problems into shipped features

🎯 Requirements

• 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 • Judgment to catch AI output that is wrong, incomplete, or risky, especially with customer data • Track record of scaling systems as load, data, and customers grow • Strong architectural skills, with examples • Knowledge of when to ship something simple and when reliability, data integrity, or architecture cannot 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 • Persistence and a constructive attitude when things break or plans change • Must live in the United States and be authorized to work there • Visa support will not be provided

🏖️ 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

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