Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for automating and accelerating enterprise analytics. With the data warehousing market expected to grow to $51B annually by 2028, Keebo is an industry innovator,  as the only fully-automated Snowflake optimizer, adjusting dynamically to save many customers 25% and more.

Built on state-of-the-art in machine learning and artificial intelligence, and over 15 years of cutting-edge research at top universities, Keebo reduces tedious and months-long manual operations to a matter of minutes, freeing up data teams to work on improving their core business. Our team is spread across the globe, supporting customers worldwide.

About the Opportunity

We are hiring a Senior Software Engineer to join our small team building an exciting new product that will be at the forefront of data warehouse tooling. You’ll bring your expertise in launching services at scale and working on products on the critical path of data warehouse queries. You’ll be at the forefront of innovation in a fast-moving startup, using your skills building scalable, resilient, critical services to build cutting-edge products in the field of query optimization.

You Will

• Partner with product and work directly with customers to deeply understand customer needs with regards to query performance tuning and query cost optimization
• Create tightly-scoped greenfield products and features, designed for fast iteration based on customer feedback
• Build scalable, reliable, fault-tolerant systems on the critical path for customers
• Bring your expertise with data warehouse integrations and scalable systems to mentor and multiply the team

You Have

• Previous startup experience
• Previous experience working on a product in the critical path for data warehouse queries
• Skilled in partnering with product to build new products and features from the ground up
• Significant experience with application performance tooling including tracing, root causing, and proactive monitoring
• Skilled in troubleshooting complex production bugs, resolving them quickly, and developing ways to improve system stability in the future
• Experienced in architecting and developing fault-tolerant solutions at massive scale for backend applications on cloud platforms
• Experienced in developing and maintaining automated tests, and comfortable working with modern CI/CD tools
• Strong asynchronous communication skills
• Experience with databases, data warehouses, and big data processing tools
• Comfortable working with large datasets from different database backends using SQL
• Comfortable working with SaaS platforms
• Background in developing custom proxies
• Experience with CDW (Cloud Data Warehouse) such as Snowflake, DataBricks, BigQuery or RedShift
• Strong desire to mentor others in engineering best practices, and lead their team in continuous improvement
• Thrive in a fast-paced environment, where responding to customer feedback quickly and product pivots are common

Bonus Points

• Experience building a product on the critical path of queries for data warehouses

Our Tool Set

Golang, Java, Python, GCP, BigQuery, Postgres, Kubernetes, Angular, Typescript, Github Actions

Our Environment

Keebo is a fully remote, global team with team members currently in the US, EU, and Canada.

What we Offer

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

For full-time positions:

• Competitive salary packages
• Equity
• Home office stipend
• Comprehensive medical, dental, and vision benefits
• 401k retirement program
• Annual company offsite (this year the team met up in Cancún, Mexico!)
• Paid time off
• Paid parental leave

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.