Principal Full Stack Engineer
New
United StatesFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- Node.jsPostgreSQLArtificial IntelligenceFull Stack DevelopmentMongoDBMySQLTypeScript.NETRedisReactTerraformLLM
Requirements
- 7+ years of professional experience building complex web-based SaaS platforms and full-stack applications.
- Strong expertise in AI and Large Language Model integrations, including prompt engineering and AI-assisted development workflows.
- Proven experience deploying AI-powered features and autonomous workflows within production-grade systems.
- Hands-on experience integrating AI tooling into CI/CD pipelines, testing automation, or development orchestration processes.
- Advanced knowledge of relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Redis.
- Strong understanding of scalable system design, cloud infrastructure, API architecture, and modern development practices.
- Ability to take full ownership of projects and drive initiatives independently in fast-paced, high-growth environments.
- Excellent communication and collaboration skills with the ability to align technical decisions with product and business outcomes.
- Experience with technologies such as .NET, Node.js, TypeScript, and React is highly valued.
- Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation is a plus.
- Previous startup or founding engineer experience is considered an advantage.
- Experience with AI agent ecosystems, plugin integrations, or advanced LLM workflows is beneficial.
Responsibilities
- Lead the architecture, design, and development of scalable full-stack solutions supporting core platform functionality and long-term product growth.
- Drive technical strategy for data ingestion, automation systems, and customer-facing product enhancements.
- Design reusable services, APIs, and platform components that support performance, scalability, and maintainability across the ecosystem.
- Collaborate closely with Product and cross-functional teams to translate business needs and customer pain points into impactful technical solutions.
- Build and optimize AI-powered workflows, autonomous systems, and agentic infrastructure to support modern software delivery practices.
- Influence and improve CI/CD pipelines, containerization strategies, Infrastructure as Code practices, and cloud-native engineering processes.
- Champion engineering best practices including security, testing, code quality, observability, and long-term maintainability.
- Conduct in-depth code reviews and provide technical mentorship to elevate engineering standards across teams.
- Adapt quickly to changing priorities and contribute across infrastructure, integrations, backend systems, and frontend experiences as needed.
- Drive innovation through experimentation with emerging AI technologies, development frameworks, and scalable architectural patterns.
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