Job Description

About the Company
Pascal is building an AI investor - enabling the world's largest asset management firms to generate insight and take better investment decisions. The team has solid experience in finance and AI. Co-founders are both IIT-Kharagpur graduates with MBA degrees from Chicago Booth and IIM-Bangalore, have worked in finance (Kalaari, Barclays Capital, Capital Group) and led product teams (Amazon AWS AI, MPL, ShareChat) and our founding engineering team are computer science graduates from IIT Bombay. We have just closed a seed round from Tier 1 Indian and Global VCs, and are looking for a founding ML Engineer.

About the Role
Our clients manage billions of dollars in assets. We are very early in our product building journey, so this is the right time to join for someone who wants to go deep in the SOTA AI tech. There is potential for this role to grow into a team lead role in the next 6 months as we scale clients and revenue.

Ideal Candidate
Wants to work in an early stage startup building from 0-1
Interested in the world of investing

Role Overview
As a Backend Engineer, you’ll design, develop, and maintain the core backend systems that power our products. You’ll work alongside product, frontend, and DevOps teams to ensure seamless integration, high availability, and optimal performance of our applications. This role requires strong expertise in backend technologies, a passion for scalable architecture, and experience with efficient data management.

Key Qualifications:

• 3+ years of experience in backend development with proficiency in languages such as Python, Node.js, Java, or Go.
• Strong understanding of RESTful API design, microservices architecture, and server-side frameworks.
• Experience with relational databases (e.g., PostgreSQL, MySQL) and familiarity with NoSQL databases (e.g., MongoDB, Redis).
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.
• Familiarity with CI/CD pipelines, version control systems (Git), and agile development methodologies.
• Ability to write clean, efficient, and well-documented code.

Preferred Qualifications:

• Knowledge of caching strategies, load balancing, and API gateway configurations.
• Experience with serverless architectures and asynchronous processing.
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana).
• Strong analytical and troubleshooting skills.
• Engineering Degree from Tier 1 Colleges.