Principal Engineer

Key Responsibilities

• Communication: Collaborate on and inform cross-functional teams of new feature technical design, technical requirements, limitations, and implementation.
• Technical Leadership: Provide technical guidance and mentorship to the development team, fostering a culture of continuous learning and growth. Lead by example in writing clean, efficient, and well-documented code.
• Architectural Design: Collaborate with other engineering leaders and product stakeholders to design robust, scalable, and high-performance software architecture, adhering to industry standards and best practices.
• Full-Stack Development: Utilize your expertise in Golang and Node.JS to contribute to the development of various components of our software applications, encompassing both frontend and backend functionalities.
• Code Review and Quality Assurance: Conduct regular code reviews, identify potential issues, and ensure that the team delivers high-quality code that is secure, maintainable, and efficient.
• Performance Optimization: Identify performance bottlenecks and implement optimizations to enhance the overall system performance and response times.
• Collaboration: Work closely with product managers, designers, and other stakeholders to understand business requirements, provide technical insights, recommend best-practice and/or alternate approaches, and contribute to product planning and roadmaps.
• Agile Practices: Follow an iterative software development methodology and contribute to all phases of the software development lifecycle and support and articulate development status to technical and non-technical audiences.
• Research and Innovation: Stay up-to-date with the latest trends, tools, and technologies related to Ruby on Rails, Go-Lang, Node.JS, and other relevant areas. Apply this knowledge to drive innovation and improvements in our software development processes.
• Troubleshooting and Bug Fixing: Diagnose and resolve complex technical issues, ensuring the stability and reliability of our platform and services.
• Growth: Continually refine business acumen and establish domain/industry vertical expertise.

Qualifications

• Extensive Hands-on Experience: Advanced experience as a hands-on Software Engineer, ideally with 12+ years of industry experience, showcasing a strong and diverse technical background.
• AI Expertise: Hands-on experience with AI-adjacent tools (e.g., Spark, Kafka, or vector databases like Milvus) for processing large datasets. Practical experience integrating AI/ML models into production systems.
• Software Proficiency: Strong knowledge and expertise in Golang, Ruby or Python, with a track record of building robust and scalable applications.
• Revenue Recognition (or Accounting Expertise) a Plus: Apply deep understanding of revenue recognition principles (ASC 606) to architect systems that track and manage revenue events, deferrals, and recognition schedules. Build robust, testable Go services that ensure data accuracy, traceability, and compliance across customer contracts, billing schedules, and usage data.
• Infrastructure and Architecture: Proven experience in designing and building out infrastructure and architecture, demonstrating the ability to create efficient and reliable systems.
• Scalability: Experience in designing and developing systems that can operate at scale, handling high traffic and large volumes of data effectively.
• Agile Methodologies: Familiarity with Agile or Scrum methodologies, with the ability to adapt and thrive in an Agile development environment.
• Technical Mentoring: Demonstrated capability to provide technical mentoring and guidance to other developers, fostering a collaborative and knowledge-sharing team culture.
• Communication Skills: Strong written and verbal communication skills, enabling effective communication with both technical and non-technical stakeholders.
• Focus on Impact, Security, and Stability: A mindset that emphasizes measuring the impact of engineering decisions, ensuring security best practices, and maintaining system stability.
• High Standards and Accountability: Ability to hold oneself and others accountable to high standards, particularly when working with production systems, to deliver reliable and high-quality products.
• Problem-Solving Skills: A track record of applying analytical and creative problem-solving skills to tackle complex technical challenges.
• Technology Evaluation: Capability to assess and recommend appropriate technologies, tools, and frameworks that align with project requirements and best engineering practices.
• Continuous Learning: A passion for continuous learning and staying up-to-date with the latest industry trends, emerging technologies, and best practices in software engineering.