About The Climate Corporation
The Climate Corporation is a technology company based in San Francisco that helps people and businesses adapt to climate change. We are dedicated to making a difference in the lives of our customers around the globe by managing their weather risks. We protect the $3 trillion global agriculture industry from the financial impact of adverse weather – the cause of over 90% of crop loss – with automated insurance products that farmers can customize and purchase online.
We are growing rapidly and have multiple opportunities available for highly skilled software engineers in test. Candidates will use their strong software testing and automation skills to help us forge the way in this new, fun and fast-growing industry -- a potential multi-billion dollar market.
See our video 'What's it like to work at The Climate Corporation?' at http://vimeo.com/theclimatecorporation/theclimatecorporationcareers
Automation Engineer - Quantitative Operations
The Climate Corporation is looking for Automation Engineers to join our Quantitative Operations Team in San Francisco and Seattle. We leverage big data and cloud computing to tackle real-world problems in machine learning, climatology, and risk management. We work with weather data, forecasts, agricultural statistics, geological surveys, satellite images, and more. Our extraordinary mission is to build a detailed statistical model of all possible weather events everywhere on Earth, so that every weather risk can be comprehensively managed with our insurance products.
As an Automation Engineer on the Quant Ops Team, you will be responsible for end-to-end automation and test-driven development of scalable, distributed, fault-tolerant computational pipelines. You will work closely with researchers and product managers to continuously test and improve the scalability, reliability, and quality of the core algorithms that underlie our products.
Lead the statistical validation and backtesting of machine learning algorithms and data products
Define test strategies and prepare test plans/procedures from product requirements
Advocate and enforce rigorous QA review and test-driven development practices
Set up and maintain cloud-hosted continuous integration systems
Create and maintain automation tools and test harnesses in a fast-paced, iterative development environment
Work with developers to investigate complex problems in our service-oriented architecture
Report, track, and re-test defects to ensure issues have been resolved
Degree in statistics, applied mathematics, computer science, or a related field
Experience with automation of scalable, distributed, fault-tolerant computational pipelines
Solid programming background, including the xUnit family (JUnit, PyUnit), mock concepts, static analysis, testing frameworks, test-driven development
Experience with shell scripting and Python
Proficient in a Linux/Unix environment
Hands-on experience with both grey box and white box testing
Demonstrated passion for code quality and willingness to work closely with developers
Ability to work under pressure and adapt to rapid changes in product direction with tight deadlines
Detail oriented, organized, methodical and a good listener/communicator
Experience with Agile approaches and delivery
Experience with Amazon Web Services
Experience with Hadoop/Cascading/Cascalog
Experience working with large-scale geospatial data (example: Google Earth), time-series data (example: high-frequency algorithmic trading), and/or recommendation engines (example: the Netflix Prize)
What we offer:
Driven, motivated, and talented team that believes in working hard and playing hard
Energetic, idea-driven and transparent work environment
Opportunity to work on challenging problems with cool technologies and big data
Competitive salary and incentive stock options
Locations near South Park in San Francisco and Pioneer Square in Seattle
Catered lunches, well-stocked selection of beverages, perks
We are very serious about our work, and we are serious about having a great time doing it. If you are the best at what you do, and are looking for like-minded people dedicated to having a major impact on the world, we are eager to talk with you.