This is a management role within Tala’s management track. You will report to the Head of Engineering and collaborate cross-functionally with all Tala teams.
Responsibilities:
Manage a team of backend software engineers, including task planning and code reviews
Recruit and build an effective Engineering team
Collaborate with product management to execute on company’s product roadmap
Own and maintain substantial portions of the backend infrastructure
Contribute technically to projects via designs and test driven development (Test Driven Development)
Contribute to and improve our strong engineering culture
Qualifications:
Leader- you have the ability to keep pace with, and set pace for, your team. You act as a mentor to junior engineers. Able to learn and teach new technologies and solutions.
Solutions Driven – you have experience thinking out loud to create the best solutions to complex, tricky problems, using the latest technical methodologies/processes.
Detail-oriented- you are a proven developer who values clean and efficient code.
Technology toolbox- you have all of the tools for development plus a few extras.
Translator- you have experience working closely with product managers, cross-functional teams, and customers to translate requirements into technical design.
Requirements:
2+ years managing a team of six or more members
Experience growing a team and hiring best in class talent
Developed and launched large scale consumer applications on Cloud infrastructure (AWS, Google Cloud, or Azure)
4+ years experience working on backend software using modern languages and frameworks (Java, Scala, Python, Play, GoLang).
Strong relational database experience (MySQL, PostgreSQL, Oracle, or MS SQL)
Working knowledge in API development for mobile/web use
Strong Computer Science fundamentals
Preferred skills & experience:
Expert proficiency in Agile development process.
Advanced degree in Computer Science and/or Math.
Excellent ability to prioritize and communicate in a fast-paced environment.
Bonus: Experience in predictive analysis and machine learning.
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