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Precisely is a global leader in data quality, data enrichment, and location intelligence, serving thousands of trusted brands. The company is AI-first, embedding artificial intelligence throughout product development and operations.
As Principal Software Engineer, you will lead the design and architecture of scalable, high-performance Node.js-based SaaS applications. You will own the architecture for all components within an investment segment, with deep expertise across the full stack. Your responsibilities include:
• Design and architect scalable, robust, high-performance Node-based applications aligned with business objectives and performance/scalability/reliability requirements
• Lead architecture decisions for all components in the investment segment, with focus on one component but expertise across all
• Collaborate with Product Managers on product planning and business performance
• Translate stakeholder requirements into consumable backlog items for engineering teams
• Write clear, detailed technical epics and user stories with acceptance criteria; participate in story grooming
• Coordinate with architects on technical decisions and identify business process improvements and automation opportunities
• Mentor and guide a team of engineers
This role sits at the intersection of software architecture, product strategy, and team leadership. You will work with cutting-edge data infrastructure and AI-powered tools, contributing to products that help organizations make confident decisions with reliable data.
REQUIREMENTS:
• 8–10+ years of industry experience in data engineering and product management
• Expert-level experience with Node.js for backend application development and architecture (required)
• Experience with Java is a plus but not required
• Bachelor's degree or higher in business or technical field
• Track record of designing and developing data products or software products
• Expertise with databases, particularly MongoDB Atlas, and developing/consuming REST APIs
• Exposure to cloud-native technologies: Docker, Kubernetes, Kafka, microservices architecture (must-have)
• Basic understanding of agile and scrum methodologies (must-have)
• Experience with AWS/Azure/GCP, Redis, security domain, Datadog, CodeFresh (advantageous)
• Working knowledge of data ETL (preferred)
• Strong communication skills across all organizational levels; excellent verbal and written communication
• Ability to set and meet time-sensitive goals; handle multiple tasks simultaneously and adapt to change
AI SKILLS/KNOWLEDGE:
• Proficiency with AI-assisted coding tools (GitHub Copilot, Cursor, Amazon CodeWhisperer)
• Experience using AI-powered code review agents
• 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 with GitHub spec-driven development
• Understanding of constitutions, skills, and agents
• Hands-on experience building or architecting agentic workflows and multi-step AI pipelines
• Experience with prompt engineering and fine-tuning for developer productivity
• Familiarity with AI observability and evaluation frameworks (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 enterprise governance
