Description
- Handles hundreds of thousands of transactions per second, billions of times each month
- Evaluates, selects, and optimizes ad-serving based on advanced statistics and machine learning
- Returns responses collected from dozens of parties in milliseconds
- Constantly evolves to meet market demands that change in days and weeks, not months/years
- Factors thousands of data points in every serving decision
- GIT, Maven, TeamCity, JIRA, Confluence, Crucible, Intellij, Redis
- Some practices we’ve adopted: TDD/unit-testing, continuous integration, code-reviews, Scrum
- Things we’re working on: cloud-computing, event-driven IO, self-healing systems, analytic databases
- We like open source: Spring, Hadoop (we run the NYC Hadoop Meetup), Jetty, Linux, Memcache
- Developers get fast boxes, with multiple monitors, and can choose Windows or Linux
- We keep a library of technical books (several hundred) and haven’t had problems buying additions
- Independence and strong ownership of business problems and their technical solutions
- Excellent problem-solving and critical thinking
- Strong Communication and inter-personal skills
- Mastery of algorithms, data structures and performance
- Experience in performance optimization (CPU, Memory, IO) and high-scale (>500 req/sec)
- Experience with open-source projects and tools (e.g. apache projects, maven, Spring, tomcat/glassfish)
- Experience with Agile, tight interaction with business and operations (DevOps)
- Experience with automated testing (TDD, Mocking, Unit/Functional/Integration)
- Expert Knowledge of Internet technologies/and protocols
- Expert knowledge of the Java language, platform, ecosystem, and underlying concepts and constructs
- Knowledge of common design patterns (IoC, GoF – not J2EE Pattern Library)
- B.S. in Computer Science, Mathematics, or Engineering (or professional experience)
- Basic knowledge of Python a plus, but not critical
- Code built for Performance and Scale
- Solid engineering practices (e.g. design patterns, automated testing, fault-tolerant systems, KISS)
- Leveraging Open Source
- Agile development and tight interaction with business/operations
- Automated testing
- Developers who can navigate around a Linux box
- Passion, technical expertise, and personal accomplishment
- Rolling up your sleeves and getting things done
0 applies
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