Senior Software Engineer - FTC

PLOS is a nonprofit Open Access publisher. The Senior Software Engineer collaborates with a cross-functional team to design, build, and maintain cloud-native digital platforms supporting open science, while contributing to architecture, development processes, platform health, and technical debt management.

Responsibilities:

• As part of a cross-functional product team, contribute designs, code, tests, code reviews, and excellent judgment towards the development and continuous improvement of our digital platforms
• Participate in agile ceremonies and evolving development practices of the team
• Contribute to the overall platform architecture
• Ensure new work is delivered in alignment with said architecture
• Establish and support development processes
• Provide stewardship of the long-term sustainability of our platform and actively manage platform health and technical debt

Requirements:

• A high level of motivation, independence and willingness to constantly learn and improve are necessary to be successful
• Significant professional software engineering experience gained in a full stack environment, ideally with experience using Google Cloud, Python, React, Kubernetes, BigQuery, or similar modern technologies
• Hands-on experience developing, shipping, operating, and/or maintain consumer and/or enterprise we applications
• Demonstrated passion for delivering testable, instrumented, and reliable code
• Strong track-record of using and improving agile software development and related design practices
• Deep understanding and experience of at least one server-side language
• Expertise in cloud native architectures
• Solid foundation in secure coding practices
• Solid understanding of client-side technology (CSS/HTML/JS)
• Experience with continuous delivery methods and technologies
• Experience with using data to inform development decisions
• Ability to collaborate with a variety of functions, personalities and cultures
• Ability to actively listen, ask the right questions and see the underlying meaning in what's being said and not said
• Flexible and open minded. Energy and enthusiasm for learning
• Problem solving in multiple domains. Resilient, proactive and creative
• Ability to pick up new techniques and technologies quickly
• Pragmatic while maintain an attention to detail
• Self-directed and capable of working under minimal supervision
• Expertise in data pipelines and event-driven architectures
• Expertise in machine learning and machine learning pipelines
• Bachelor's degree in Computer Science, Mathematics, or related academic degrees and/or equivalent experience preferred alongside a strong background in software engineering