About Arki Finance
Arki Finance is a Singapore-based wealthtech platform building the future of hyperpersonalized finance for the mass affluent. Our platform combines goal-based investing, intelligent wealth planning, and adaptive portfolio management to help clients structure their wealth across liquidity, income, and growth objectives.
We are building a next-generation digital wealth ecosystem integrating investments, financial planning, behavioral intelligence, and AI-driven personalization into a seamless client experience.
Role Overview
At Arki, we believe that bold ideas need strong engineering foundations.
As a Principal Engineer/ Tech Lead, you won’t just write code—you’ll shape the blueprint of our AI, data, and platform infrastructure. You’ll be a strategic thought partner to our leadership team and a technical mentor to engineers across the board.
If you're someone who thrives in ambiguity, enjoys solving hard problems, and gets excited about building systems that scale intelligently, this role is for you.
What You’ll Do
- Lead the design and evolution of Arki’s technical architecture—AI models, data platforms, and backend systems—ensuring they are scalable, secure, and future-proof.
- Develop high-performing AI/ML solutions that drive insights and personalized user experiences from diverse datasets.
- Build and maintain robust data pipelines and storage systems that support real-time analytics and decision-making.
- Partner with product, business, and operations teams to identify opportunities, scope initiatives, and translate needs into elegant engineering solutions.
- Set standards in quality, documentation, testing, and mentoring junior engineers.
- Facilitate seamless integration of tools, APIs, and services that enhance system performance and user impact.
- Continuously evaluate new technologies and frameworks, guiding Arki towards innovation that delivers real value.
- Drive security, compliance, and ethical standards across all data and AI workflows.
- Be the guardian of data integrity—ensuring accuracy, governance, and continuous improvement of our data assets.
About You
- 10+ years of hands-on experience in software engineering, with a strong track record in designing, building, and scaling complex systems - especially in data and AI-heavy environments.
- Highly proficient in Javascript, Python, Go, or similar languages, and have architected solutions using AWS.
- Led the development of AI/ML pipelines and are comfortable deploying models into production.
- Proficient in DevOps, CI/CD, and container orchestration (Kubernetes, Docker).
- Experience with data engineering, including ETL pipelines, data lakes, streaming systems (e.g., Kafka, Spark), and SQL/NoSQL databases.
- Strong understanding of data privacy, governance, and ethical AI principles, and know how to implement systems that are both secure and compliant.
- Thrive in a collaborative environment, mentoring other engineers and influencing cross-functional teams with clarity and conviction.