Engineering · Remote · Remote possible
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.
As a Senior Software Engineer, you will be responsible for designing and developing scalable systems on our Warehouse Optimization team. This will involve:
Problem-Solving: Taking business-critical problems that are open-ended and customer-focused and partnering with product to find innovative solutions to address them.
Mentorship: Bring your experience of architecture, observability, and engineering best practices to the team, mentoring other engineers in how to mature their engineering practices and have visibility into how their services operate in production.
Data Focus: Using cloud-native data tools to fetch, combine, and analyze large-scale data. Focus on using data to test hypotheses and make data-driven decisions.
Delivery responsibilities: Committed approach to understanding customer needs and clearing blockers for your team in order to quickly deliver products that delight customers.
Setting high standards: Partnering with the team to set high standards on automated testing, observability, and documentation, while making thoughtful tradeoffs in service of speed to market.
Requirements:
Bonus Points:
Our tech stack: Java, Python, Apache Airflow, GCP, BigQuery, Postgres, Firebase, Angular, Typescript, Cypress, Jest
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
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.
Open roles at Keebo