Software Engineer (Generalist)

Mlabs Ltd
New York, NY, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Cloud Computing Design of User Interfaces Python (Programming Language) PostgreSQL Node.Js Software Engineering TypeScript Rust (Programming Language)
+11 more
Google Cloud ReactJS Delivery Pipeline Reliability of Systems Backend Kubernetes Front End Software Development Terraform GPT Docker Golang

Job description

We are looking for a Software Engineer (Generalist) as a generalist, you won’t be boxed into a single layer of the stack-you’ll own features end-to-end, tackle high-impact bottlenecks across the codebase, and help shape technical architecture as we scale., * End-to-End Ownership: Design, build, test, and deploy features across entire stack-from frontend UI/UX to backend services and database schemas.

  • Problem Solve Across the Stack: Jump in wherever the product needs you most, whether that’s building an API, optimizing SQL queries, or setting up a deployment pipeline.
  • Product Collaboration: Work closely with product designers, founders, and engineers to turn ambiguous ideas into production-ready software.
  • Architect for Scale: Help maintain clean abstractions, write maintainable code, and ensure system reliability as user base grows.

Requirements

If you love shipping product fast, diving into unfamiliar technologies to solve tough problems, and balancing speed with high-quality engineering, you’ll fit right in., * Broad Engineering Foundation: 3+ years of professional software engineering experience working across both backend and frontend systems.

  • Language Agnostic: Fluency in modern languages and frameworks (e.g., Python, TypeScript/Node.js, Go, React, Rust, PostgreSQL) and a track record of learning new technologies quickly.
  • Product-Minded & Pragmatic: You prioritize delivering value to users over tech stack dogmatism, preferring rapid iteration over over-engineering.
  • Strong Ownership: A track record of taking complex features from concept to production with minimal supervision.
  • SF Bay Area Presence: Based in or willing to relocate to the San Francisco Bay Area for collaborative in-office work days., * Experience in fast-paced startup environments or early-stage team dynamics.
  • Exposure to cloud infrastructure (AWS/GCP, Docker, Kubernetes, Terraform).
  • Interest or experience building with AI/LLM frameworks and APIs.

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