Software Engineering Lead - MavenAI
RoutableFull Time
Senior (5 to 8 years)
Candidates must possess over 10 years of software development experience, with at least 3 years in management. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is required. Proficiency in technologies such as Python, React, Postgres, Oracle, MySQL, MSSql, Git, or GraphQL is necessary. Experience utilizing AI coding assistants to enhance development speed and code quality is also required, alongside a strong technical background in software development and architecture. Excellent interpersonal and communication skills are essential for effective collaboration with teams and stakeholders. Demonstrated leadership capabilities to inspire a team and foster a high-performance culture, coupled with strong problem-solving abilities and the capacity for sound decision-making in a dynamic environment, are crucial. A passion for staying current with industry trends and technologies is expected, and occasional travel for company meetings may be required. Familiarity with Google Cloud, data pipeline technologies, ETL processes, and data integrity best practices are preferred.
The Engineering Manager will lead and mentor a team of software engineers, guiding their professional growth and setting clear expectations for success. They will collaborate with cross-functional teams, including product management and design, to align engineering efforts with business objectives and establish metrics to evaluate team performance. This role involves driving technical discussions and decisions regarding architecture, technology stack, and development processes, while promoting best practices and continuous improvement in software development. The manager will also collaborate with stakeholders to define project scopes and timelines, monitor project progress, identify risks, and ensure successful delivery. Additionally, they will foster a culture of learning, experimentation, accountability, collaboration, and innovation within the engineering team, encouraging knowledge sharing and process improvements to enhance productivity and efficiency.
AI-driven automation platform for accountants
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