Software Engineer, Machine Learning​/ ML Engineer, Cloud Engineer - Software

Software Engineer

Sift is looking for an experienced and creative Software Engineer with a data science background or a strong desire to implement data science and machine learning technologies to join our team in Durham, NC. The role involves building scalable distributed applications using cutting-edge technologies and services. The candidate must have a proven ability to understand and implement complex business requirements for new systems and enhancements to existing systems in a fast-paced environment, and possess strong analytical and debugging skills.

• Collaborate with others to conceptualize, build, test, and ship software solutions that meet business and market needs.
• Maintain existing software systems, including cloud-based infrastructure.
• Push big data technologies to their limits to improve our products and services.
• Implement scalable and cost-effective software systems that meet business requirements.
• Develop high-quality software using industry-standard best practices, including unit testing, code reviews, and continuous integration.

• BS or MS in Computer Science or equivalent work experience.
• Software development experience preferably with a JVM-based language (Java, Scala, Clojure).
• Experience with distributed data handling and storage technologies like Amazon Kinesis, Redshift, DynamoDB, and Redis.
• Exposure to infrastructure management technologies such as Puppet or Chef in a cloud environment like AWS.
• Experience working with Git, Subversion, or other SCM tools.
• Experience working with remote data via REST and JSON.
• Strong understanding of query languages and trade-offs between relational and non-relational systems.
• Working knowledge of key data structures and algorithms (indexing, hash tables, joins, aggregation).
• Solid understanding of software development best practices and methodologies.
• Experience working in a team-oriented, collaborative environment.
• Excellent communication and collaborative problem-solving skills.
• Can lead by example & motivate fellow developers to meet challenging goals.

• Minor in statistics or related field.
• Python data science experience.
• Experience with machine learning frameworks such as Amazon Machine Learning.
• Experience with big-data tools like Map Reduce, Hadoop, Spark.
• Knowledge and experience with agile methodologies such as SCRUM.
• Experience with Scala.
• Experience with microservice architectures.
• Experience with functional programming.
• Good time-management skills and structured work methodology.
• Experience with No
  
  SQL data stores, especially DynamoDB and Redis.
• RDBMS and JDBC experience, especially MySQL or Amazon Aurora.
• Experience with build tools, especially sbt.