Software Engineering Lead - FlowGen Labs
About The Position
Define architecture, standards, and deliver solutions end to end. This hybrid, generalist role blends core platform design in cloud (AWS/Azure) data and application architecture with hands on, customer facing delivery. You will lead builds across Node.js services, AI and agent workflows, and integrations with enterprise systems, owning quality and reliability. Cloud and Systems Design with depth in building secure, scalable systems across networking, autoscaling, multi tenant patterns. Proficiency with Infrastructure as Code using Terraform or CDK and strong observability with metrics, tracing, logs, and SLOs. Application Engineering Strong Node.js and TypeScript for APIs and services. Proficiency with Postgres and experience with vector databases such as pgvector, Pinecone, or Milvus for retrieval and semantic search. Experience orchestrating agentic workflows and retrieval augmented generation. Familiarity with LangGraph is a plus. DevOps and Delivery Solid engineering practices including CI/CD with GitHub Actions or GitLab CI, automated testing, code reviews, trunk based development. Comfortable with Docker and modern release management. Hands on use of AI tools with clear ideas for applying AI to development, testing, data, and support. Ownership mentality, crisp communication, comfortable deciding with 80 percent information. Move fast without breaking things, not afraid to learn new stacks, bring a we will figure it out attitude.
Requirements
- Cloud and Systems Design with depth in building secure, scalable systems across networking, autoscaling, multi tenant patterns
- Proficiency with Infrastructure as Code using Terraform or CDK
- Strong observability with metrics, tracing, logs, and SLOs
- Application Engineering Strong Node.js and TypeScript for APIs and services
- Proficiency with Postgres and experience with vector databases such as pgvector, Pinecone, or Milvus for retrieval and semantic search
- Experience orchestrating agentic workflows and retrieval augmented generation
- DevOps and Delivery Solid engineering practices including CI/CD with GitHub Actions or GitLab CI, automated testing, code reviews, trunk based development
- Comfortable with Docker and modern release management
- Hands on use of AI tools with clear ideas for applying AI to development, testing, data, and support
- Ownership mentality, crisp communication, comfortable deciding with 80 percent information
- Move fast without breaking things, not afraid to learn new stacks, bring a we will figure it out attitude
Nice To Haves
- Familiarity with LangGraph
Responsibilities
- Define architecture and standards
- Deliver solutions end to end
- Lead builds across Node.js services, AI and agent workflows, and integrations with enterprise systems
- Own quality and reliability
Benefits
- Direct product and company impact with minimal bureaucracy.
- High bar for craft, velocity, and pragmatic shipping.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
