Workable makes software to help companies find and hire great people. We get recruiting and its role in building healthy workplaces — which is why we’re proud that more than 20,000 teams around the world use Workable to do exactly that.
And while we take recruiting seriously, we don’t take ourselves too seriously. At Workable, you’ll find smart people who have fun, learn and innovate, and help others do the same. We brainstorm, we laugh, and, occasionally, we party (there’s a lot to celebrate), but we also appreciate people’s need for quiet time and focused work. We respect everyone, we hire the best, and make sure every experience is special.
We are currently seeking a Senior Software Engineer to support our Data Science team. In this role, you will work on a variety of projects, including the development and maintenance of medium to large-scale systems within the team's code space. You will also participate in cross-functional projects with other teams and across disciplines, including product, design, QA, and operations.
To be successful in this role, you should have strong engineering skills in code development, maintenance, review, and tooling documentation. You should also be able to author, co-author, and review software design documentation, and be able to present complex analyses in a clear, concise, and actionable manner.
If you are a passionate software engineer who is looking to work on exciting projects and make a real impact, we encourage you to apply for this role.
Responsibilities
Developing, testing, and maintaining software code for medium to large projects
Working on top and around the ML models trained by our ML Engineers
Collaborating effectively with cross-functional teams including product, design, QA, and operations
Participating in the full life-cycle of the product, including problem discovery, prototyping, design, implementation, and measuring adoption
Contributing to the authoring, co-authoring, and reviewing of software design documentation
Presenting complex analyses in a clear, concise, and actionable manner
Building relationships across teams to increase effectiveness
Utilizing agile methodology and test-driven development on a daily basis
Keeping up-to-date with the latest industry trends and technologies in software engineering and data science.
We are seeking a software engineer to join our data science team with the following qualifications:
Bachelor's or Master's degree in Electrical & Computer Engineering, Computer Science, or a related subject
At least four years of full-time industry experience developing and maintaining software systems in production, preferably using our stack (Python, Node, Java, and Ruby)
Strong background in relational database theory and excellent knowledge of Relational Databases such as Postgres, MySQL, SQL Server, and Oracle
Experience with NoSQL storage such as Elastic Search, MongoDB, Redis, etc.
Experience with Message Brokers such as RabbitMQ, Kafka, etc.
Firm grasp of multi-threading, object-oriented design, and asynchronous programming
Experience with development processes in Linux and Git
Experience with containerization tools such as Docker and Kubernetes
Skilled in testing, including unit, integration, and contract testing.
Our employees enjoy benefits that make them more productive and contribute directly to the development of their professional skills. We want to be able to attract the best of the best and make sure they keep getting better. On top of an exciting, vibrant and intellectually challenging environment, we are offering:
An attractive salary and a bonus plan
Health insurance plan including dependents
Mobile telephony including data plan
Apple gear for your home office and access to the best productivity tools
Annual summits in awesome locations
Workable is most decidedly an equal opportunity employer. We want applicants of diverse background and hire without regard to color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.
Your email won't be used for commercial purposes. Read our Privacy Policy.