Principal Software Engineer

Role Description

We are seeking an experienced Principal Software Engineer with a strong background in Node to lead and contribute to the development of cutting-edge software solutions. The ideal candidate will possess extensive experience in software development, architecture, and team leadership. As a Principal Software Engineer, you will play a critical role in designing, developing, and maintaining high-performance SaaS applications, while also mentoring and guiding a team of engineers.

• Design and architect scalable, robust, and high-performance Node-based applications.
• Ensure software solutions align with business objectives and meet performance, scalability, and reliability requirements.
• Leads architecture for all components in an investment segment. May focus on one component but must have expertise across all components.
• Responsible for design of systems in the investment segment.
• Actively supports Product Manager in the Product Planning, business performance of one or more products.
• Understand requirements that come from stakeholders and help turn them into consumable backlog items for the team.
• Write clear, compelling, and detailed (technical) user epics and stories with user acceptance criteria.
• Participate in story grooming exercises for crisp and unambiguous documentation and communication of features to be developed.
• Coordinate with appropriate architects to ensure tech decisions are made and implemented.
• Identify business process improvements and opportunities for automation.

Qualifications

• 8-10+ years of industry experience in the areas of data engineering and product management.
• Expertise in one or more programming languages (Node, Java).
• Bachelor’s Degree (or higher) in business or technical field.
• Track record of designing and developing data products or software products.
• Expertise in Node for backend development; familiarity with frontend scripting languages such as React will be a plus.
• Expertise with databases, particularly Mongo Atlas, and developing/consuming REST APIs.
• Exposure to cloud-native technologies including Docker, Kubernetes, Kafka, and microservices architecture is a must.
• Basic understanding of agile and scrum methodologies is a must.
• Experience of AWS/Azure/GCP, Redis, Security Domain, Datadog, Code fresh, hands-on will be advantageous.
• Working knowledge of data ETL will be preferred.
• Ability to communicate with various stakeholders at all levels of the organization.
• Excellent verbal and written communication skills.
• Excellent interpersonal skills and active listener.
• Able to set and meet time-sensitive goals.
• Able to handle multiple tasks simultaneously and adapt to change while providing structure to operations and go-to-market teams.

Requirements

• Proficiency with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Amazon CodeWhisperer) to accelerate development velocity.
• Experience using AI-powered code review agents to improve code quality and reduce review cycles.
• Ability to critically evaluate and validate AI-generated code for correctness, security, and maintainability.
• Familiarity with LLM APIs or agentic workflows.
• Comfortable incorporating generative AI tools into daily engineering workflows (debugging, documentation, test generation).

Preferred Skills

• Experience on GitHub spec driven development.
• Understands concept of constitutions and skills and agents MD.
• Hands-on experience building or architecting agentic workflows and multi-step AI pipelines.
• Experience with prompt engineering and fine-tuning strategies for developer productivity use cases.
• Familiarity with AI observability and evaluation frameworks (e.g., LangSmith, Weights & Biases).
• Exposure to Retrieval-Augmented Generation (RAG) patterns and vector database integrations.
• Experience leading or mentoring teams in adopting AI tooling and best practices.
• Knowledge of responsible AI principles — bias detection, model safety, and governance at the enterprise.