- Develop, design, create, modify, and/or test software applications or systems for various products or software services.
- Develop a strong understanding of relevant product area, codebase, and/or systems.
- Demonstrate proficiency in data analysis, programming, and software engineering.
- Produce high-quality code with good test coverage using modern abstractions and frameworks.
- May be assigned to a specific group focused on product or infrastructure.
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- Work independently, use available resources to get unblocked, and complete tasks on schedule by exercising strong judgment and problem solving skills.
- Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
- Lead track road mapping and contribute to setting team level goals, tracking OKRs, and conducting tradeoffs discussions to prioritize projects based on technical effort estimation and impact sizing.
- Lead technical design and scoping projects.
- Engage leaders to gain buy-in and support for a new direction or opportunity.
- Mentor and provide technical support to other engineers on the team.
- Advise team and cross-functional partners on complex matters in product/business areas.
- Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Statistics, Physics, Applied Sciences, or a related field and completion of one university-level coursework, research project or internship.
- Requires completion of one university -level coursework, research project or internship in the following:
- 1. Building web applications using Hacklang, PHP, and XHP
- 2. Building web interfaces using React, GraphQL, Flow, Relay, and ComponentKit
- 3. Building cross-platform mobile applications using Flutter or industry-equivalent
- 4. Writing automated tests using Selenium (or industry-equivalent), Jest, and Junit
- 5. Performing data analysis and data visualization using Presto, Daiquery, Jupyter, and Tableau (or industry-equivalent)
- 6. Experience with monitoring services such as Splunk
- 7. Experience with data streaming services such as Scribe
- 8. Using version control systems such as Mercurial in large monolithic repositories
- 9. Experience with the following cloud-computing tools or their industry-equivalents: AWS
- 10. Lambda, Twine, and Apache ZooKeeper
- 11. Building databases using Apache Hadoop, memcached, Amazon Elasticache, Amazon DynamoDB, and Apache HBase (or industry-equivalent)
- 12. ORMs such as Entity Framework
- 13. Communication protocols such as Thrift
- 14. Running experiments using Optimizely or industry-equivalent
- 15. Designing and running marketing campaigns and optimizing user experience flows
- 16. Building integrations with payment services such as Amazon KYC
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