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Senior Lead Engineer
2 months ago
We are seeking a dynamic Senior Lead Engineer with a passion for innovation, AI/ML expertise, and a strong background in software architecture. The ideal candidate will lead the end-to-end technical journey, from 0-1 MVPs to scaling fully operational AI-based finance tools. You'll take ownership of our technology strategy, build high-performing teams, and ensure that our infrastructure supports rapid growth and innovation.
- Architect and Scale: Define and implement the technical architecture for our AI-driven finance platform, ensuring it is scalable, secure, and adaptable.
- End-to-End Leadership: Lead the product lifecycle from MVP/prototyping to production, managing both technical execution and team development.
- AI/ML Integration: Collaborate with data science teams to deploy and integrate AI/ML models into the production environment, streamlining complex accounting and tax operations.
- Cross-functional Collaboration: Work closely with product managers, stakeholders, and finance experts to align the tech vision with business objectives.
- Infrastructure Optimization: Ensure robust, scalable cloud infrastructure for processing large datasets in real-time, focusing on reliability, compliance, and performance.
- Experience: 7+ years in software development, with at least 3 years in a technical leadership role, managing complex AI/ML products.
- Technical Expertise: Strong experience in building and scaling AI/ML-driven platforms, cloud computing (AWS, Azure, GCP), microservices, and APIs.
- Leadership: Proven experience leading high-performing engineering teams and mentoring engineers across all levels.
- Problem Solving: Demonstrated ability to resolve performance bottlenecks and manage data pipelines.
- Culture Builder: Experience cultivating an engineering culture of ownership, collaboration, and continuous improvement.
- Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
- Strong hands-on coding background (Python, Java, or similar), along with architecture and systems design experience.
- Deep understanding of cloud platforms (AWS, Azure, GCP) and modern development practices like CI/CD, TDD, DevOps.
