Lead Engineer
3 weeks ago
This is a remote position.
Company Overview:Finanshels.com is a pioneering financial technology company headquartered in Dubai, UAE. Our mission is to revolutionize the financial landscape by empowering businesses with cutting-edge solutions that streamline accounting and tax operations, democratize access to skilled finance professionals, and deliver real-time financial health insights. At Finanshels.com, we understand the challenges faced by small and medium-sized businesses (SMBs) in the MENA region. Tedious accounting tasks, manual processes, and limited access to finance expertise often hinder growth and productivity. That's why we've made it our goal to bridge these gaps and provide comprehensive solutions that enable businesses to thrive.
Our platform leverages advanced automation technologies to simplify accounting and tax operations, saving businesses time and resources. Through our network of experienced f inance professionals, we offer on-demand support and guidance, empowering businesses to make informed financial decisions and navigate complex regulatory environments with confidence. With a customer base spread across SMBs in the MENA region, Finanshels.com is a trusted partner for businesses of all sizes. Whether you're a startup looking to streamline your f inances or an established enterprise seeking to optimise operations, we're here to help you succeed. Join us in our mission to transform the way businesses manage their finances and unlock new opportunities for growth. Together, we can build a brighter future for businesses in the MENA region and beyond.
We are seeking a dynamic 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.
• 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
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. • 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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