Staff Software Engineer

Join the team at Fandom and work with great people (fans! Star Wars, Twin Peaks, RPG games). As a Staff Software Engineer on the Data Platform team, you will be responsible for solving engineering problems of the largest complexity and scale within your team. You will be expected to influence the overall vision and long-term engineering goals for the team aligned with the product vision.

You Will…

• Create, extend, and maintain scalable systems written in Java, Python, Go, and PHP
• Provide technical leadership on high impact projects that impact multiple teams
• Actively contribute to the strategic direction and planning for your team
• Help to enrich Fandom’s structured data with internal and external data sources
• Write (Not only) SQL queries that run production, user-facing systems, or extract data from our data warehouse
• Delivers clean, maintainable, well-structured, well-tested, well-performing and documented code
• Help to translate experimental data science concepts into production systems operating at scale
• Design and develop networked services, and provide hands-on assistance to other teams integrating these services
• Share knowledge through documentation, pull request comments, and mentoring
• Develop and refactor software with an emphasis on quality, simplicity, and maintainability
• Work effectively with a globally distributed team
• Learn new technologies, patterns, and processes as needed
• Ensure a high level of quality in your team’s deliverables
• Actively cross team boundaries to solve technical issues
• Provide mentorship to your team and knowledge and advice to other teams in your areas of expertise
• Take ownership of high impact projects from inception to production

• 8+ years of professional experience with web technologies at scale

• Professional experience:

• Crafting sustainable APIs
• Database management systems (MySQL, PostgreSQL, MongoDB, Cassandra)
• Backend microservice experience (Java and python preferred)
• Performance and optimization problems at scale
• Docker and Kubernetes in production
• Leading large parts of a web-scale project from conception to production

General Knowledge:

• Building automated tests (Jest, JUnit, Mockito, Karma, Jasmine, Mocha, etc.)
• Continuous integration tools (Jenkins, Travis, Github, etc)
• ETL (data extraction, transformation, and loading)

Bonus Points if You Have…

• Experience working with a global team
• Familiarity and/or experience with Big data or Streaming data technologies like Cassandra, MongoDB, Dynomodb, or Kafka