Posted by whoishiring 11/3/2025
Ask HN: Who wants to be hired? (November 2025)
Location:
Remote:
Willing to relocate:
Technologies:
Résumé/CV:
Email:
Readers: please only email these addresses to discuss work opportunities.
There's a site for searching these posts at https://www.wantstobehired.com.
Location: New York City
Remote: Yes
Willing to relocate: Probably not
Technologies: JavaScript, TypeScript, C, Haskell, Solidity, C#, MUMPS
Resume: https://haltman.neocities.org/resume.pdf
Email: harry.j.altman@gmail.com
I'm good at this sort of nitpicky work, spotting and thinking about edge cases. I like getting things exactly right, even though that obviously isn't always possible due to various constraints. I've been kind of wondering if I should get into embedded development; I find it appealing when things are low-level or similarly constrained. I've beaten Microcorruption. :) (The original levels, I haven't played the new ones.)
I'm also quite interested in unusual or obscure data formats, and working on Truffle Debugger and its associated libraries certainly involved a bunch of having to figure undocumented formats and interfaces. :) I put down above what languages I've worked substantially in but I'd say I'm a generalist and will figure out whatever you give me (I knew approximately no Javascript, Typescript, or Solidity when I started working at Consensys).
I'm a mathematician by background and in my spare time, so after the Truffle Debugger project was shut down I took some time off to focus on my mathematical projects. But now I'm looking for work again! If you need someone like me, I'm available for hire!
Location: Portland, Oregon
Remote: Yes
Willing to relocate: No
Technologies: Python (Django, FastAPI), PostgreSQL, Redis/Celery,
AWS, Docker, Terraform, LLM integration (GPT, Claude), data pipelines/ETL
Resume: https://banagale.com/cv/
Email: rob@banagale.com
Most recently, I designed and implemented an LLM-assisted data pipeline that converted security bulletins into actionable intelligence for an enterprise cyber security product.
I enjoy working with Django, previously migrated live auth systems with zero downtime and took SaaS products from prototype to production.
I have founded a startup and grown the business from zero to profitable exit.
I'm seeking a senior backend, data engineering, of founding engineer role at a stable, product-focused company. I'm strong in API design, data modeling, and production AI integrations.
Please reach out if you would like to chat. I look forward to meeting with you.
Remote: Yes
Willing to relocate: Yes
Technologies: React Native, iOS, Android, TypeScript, Redux, Redux Toolkit, Jest, Chrome Extension, VS Code Extension
Résumé/CV: https://resume.pixellog.io/
Email: mrpmohiburrahman+hn[at]gmail.com
LinkedIn:(https://www.linkedin.com/in/mrpmohiburrahman/)
Why you should hire me:
- 4 years of professional experience as a React Native developer, including 3 years remotely for a Estonian company.
- Contributed to major open-source projects [check resume for pr links]:
- react-native-testing-library( from Callstack Company, 3.1k stars, 896k weekly downloads on npm )
- react-native-contacts( 1.7k , solved an issue using objective c++ code )
- react-native-device-info( 6.5k , solved an issue on android app building using gradle ( android native coding ) )
- react-native-bottom-tabs( 775 stars on GitHub ) - Awesome React Native UI: Curated a collection of stunning animations created by the React Native community.
- NotionKeys for Markdown: A VS Code extension that brings Notion-style '/' commands for Markdown editing.
Location: US (GA)
Remote: Yes
Willing to relocate: Yes, only to PNW or Bay Area
Technologies: Python, Linux, embedded C, SQL, React, AI/ML (PyTorch, LLMs), electrical
Résumé/CV: https://synapsomorphy.com/resume.pdf
Email: On CV
---
Fullstack engineer with 2 yrs exp. Coming off a year building the entire tech stack for a YC alum deeptech + biotech startup, from scratch, as the sole SWE or EE. (product: https://andsonbiotech.com/platform/)
I've also built/worked on rockets, drones, robots, a lunar lander, a Mars helicopter at NASA, and a new type of 3D printer. See portfolio on website: https://synapsomorphy.com/
Prefer early-mid stage, say Series C or earlier, and core products that have 1 or more of [biology, ML, hardware], in order of preference. But mostly I just care about solving hard and meaningful problems with cool people.
Location: India
Remote: Yes
Willing to relocate: No
Résumé/CV: https://www.linkedin.com/in/shabinesh/
Email: sivarajshabinesh@gmail.com
My focus areas include:
System Architecture & Design: Crafting resilient, observable, and maintainable systems that scale.
Distributed Systems: Designing and evolving services that thrive under load and handle failure gracefully.
Technical Leadership: Driving clarity in complex systems, mentoring engineers, and shaping high-impact engineering culture.
Scalability & Performance: Deeply understanding system bottlenecks and making software fast, reliable, and cost-efficient.
I’ve led engineering efforts spanning from core platform design to large-scale service deployments, with an emphasis on clarity, reliability, and developer experience.
I’m looking for roles such as:
Principal / Staff Engineer
Architect – Platform or Distributed Systems
Engineering Lead
Remote: Yes
Willing to relocate: Sure
Technologies: Deep Learning (PyTorch), ReactJS, Svelte, Natural Language Processing (NLP), Python (Flask, OpenAI API), Graph Knowledge Systems, Vector Search (Cosine Similarity), PostgreSQL, Linux System Administration
Résumé/CV: https://www.toptal.com/resume/rodrigo-heck
Email: rodrigo.heck@toptal.com
Lately, I’ve been exploring graph-based knowledge representations as a method for information compression and long-term memory permanence in AI systems — developing pipelines that integrate LLMs with structured memory to retain and generalize knowledge efficiently.
My background bridges applied machine learning and software engineering, from building text-to-speech systems and semantic retrieval tools to experimenting with persistent, graph-oriented architectures for reasoning and recall. I’m looking for opportunities at the intersection of AI systems engineering, knowledge representation, and scalable memory architectures.