Senior Lead Engineer
3 weeks 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.
Key Responsibilities:
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.
Requirements:
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.
Qualifications:
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.
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