Senior Full-Stack Engineer

We’re looking for:

• Experienced Full-stack Engineer with a passion for backend
• Strong knowledge of Python, Java, Ruby on Rails or JavaScript
• A detail-oriented self-starter, with a great passion around execution and providing awesome solutions and products
• Passionate to learn new technologies
• Open minded, outgoing, self-confident and positive personality
• Great team player
• Fluent in English (both written and verbal)

Responsibilities:

• Build and maintain awesome products
• Drive the design and implementation of systems at the core of our data infrastructure on a small, but effective team of data engineers
• Help envision, implement, and evangelize new features, pipelines, and platforms that not only deliver data, but insight
• Collaborate with product, engineering, and analysis teams across the organization, as our systems are loosely-coupled, but highly utilized

Requirements:

• A consistent track record of building highly-available backend systems that scale
• A deep understanding of patterns of data architecture, backend system design
• Strong analytical and debugging skills
• A dedication to engineering excellence
• At least 5 years experience writing Python/Java/Ruby on Rails/JavaScript production-level code
• Solid understanding of lean and agile practices, in particular SCRUM
• Fundamental knowledge of data structures and programming practices
• High degree of proficiency in Linux systems administration

Benefits:

• Competitive salary and bonuses
• Exciting projects for San Francisco based clients
• The ability to use cutting edge technologies
• Free lunch, fruits, snacks, and drinks
• Brand-new gadgets: MacBook Pro, pick out big monitors, fancy headphones, and more
• Paid time off and all National Holidays
• Business travel opportunities
• Flexible working hours
• Highly talented, professional, and friendly team

Nice to have:

• Exposure to the principles of functional programming
• Some experience with statistical analysis tools
• Experience with A/B testing or machine learning infrastructure
• Experience with Scala, Kafka, Spark, Flink, Storm, or similar

Deadline for applications: 21.10.2020.