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An innovative firm is on the lookout for a Principal Software Engineer to lead the development of a cutting-edge AI-powered platform. In this role, you'll leverage your extensive experience in full-stack development and cloud-native technologies to create scalable solutions that drive real business impact. You'll collaborate closely with product and business teams, ensuring that technical strategies align with organizational goals. This position offers a flexible, remote-friendly environment, competitive compensation, and an opportunity to work on groundbreaking projects in the AI space. Join a team that values creativity, autonomy, and impactful engineering.
Job Title: Principal Software Engineer – Cloud, AI & Full Stack
Location: Remote / Full-Time (U.S. based candidates only, On-shore required)
Duration: 4 months
We’re seeking a visionary Principal Software Engineer to help drive the development of our AI-first, cloud-native platform. In this role, you’ll thrive in a dynamic startup setting where innovation and speed are paramount.
This is a role for a strategic builder and communicator - someone with 10+ years of experience in full-stack development and architecting scalable, cloud-native platforms. You should have a deep technical foundation, strong business acumen, and a passion for engineering solutions that seamlessly connect infrastructure, advanced AI, and real-world business needs.
Frontend: Next.js, TypeScript / React
Backend: Node.js, Koa
Databases: PostgreSQL, DuckDB, BigQuery, Qdrant
AI / Machine Learning: Python, LangChain, Crew AI, OpenAI
Data / ELT: BigQuery, DuckDB, Pandas
Search: Elasticsearch
Cloud & Infra: GCP, Kubernetes, Argo CD, Docker, GitHub Actions
Monitoring: Sentry, Prometheus, Grafana, GCP Monitoring
Architect and develop full-stack application using Next.js / Node.js, including a multi-tenant RBAC admin panel for managing users and organizational data
Develop a conversational AI chatbot that integrates multiple data sources, parses and synthesizes diverse information, and delivers intelligent, context-aware insights.
Design and manage vector databases and knowledge bases to support semantic search and retrieval-augmented generation (RAG)
Build intelligent ELT pipelines that power AI workflows and insights
Align closely with product and leadership to guide technical direction and vision
Collaborate directly with business stakeholders to analyze data, uncover key insights, and identify pain points that inform product and technical priorities
Apply security-first principles and best practices across the entire stack, ensuring the platform is robust, resilient, and protected against threats
Manage Kubernetes-based infrastructure in Google Cloud, using GitOps with Argo CD
Champion code quality, observability, and security across the stack
Excellent communicator – able to articulate complex technical concepts clearly to technical and non-technical stakeholders alike
10+ years of hands-on engineering experience, including building and shipping production systems in startup or high-growth environments
Deep experience with cloud-native orchestration platforms: Kubernetes, Argo CD, and Google Cloud Platform
Proficient in modern JavaScript/TypeScript frameworks (Next.js) and backend development with Node.js
Strong command of Python, especially in the context of machine learning, data pipelines, and AI integrations
Experience building and optimizing scalable, high-performance, and maintainable codebases
Skilled in designing ELT pipelines, data infrastructure, and working with large datasets
Experience implementing and managing vector databases and building knowledge bases to power intelligent retrieval and RAG pipelines
Familiarity with agentic AI architectures, particularly with Crew AI, and integrating AI into end-to-end user-facing features
Proven ability to work closely with business teams to extract data-driven insights and turn them into actionable product and engineering outcomes
Demonstrated ability to translate business goals into technical solutions, aligning product priorities with scalable engineering strategies
Comfortable in fast-paced, ambiguous environments, with a proactive and adaptable mindset
Build something truly cutting-edge in the AI space
Flexible, remote-friendly environment with high trust and high autonomy
Competitive salary, equity, and benefits
Conatum is an AI-powered Software-as-a-Service (SaaS) platform that transforms how organizations understand and elevate workforce performance. By seamlessly integrating data across disparate systems—spanning HR, Finance, Operations, IT, and beyond—Conatum delivers intelligent insights that uncover what truly drives productivity and financial performance. Through its advanced analytics and proprietary CEB (Characteristics, Experiences, Behaviors) model, Conatum empowers leaders to turn scattered data into unified intelligence, revealing actionable levers for workforce optimization, cost efficiency, and revenue acceleration.