Ask HN: Who wants to be hired? (July 2026)
Share your information if you are looking for work. Please use this format:
Location:
Remote:
Willing to relocate:
Technologies:
Résumé/CV:
Email:
Readers: please only email these addresses to discuss work opportunities.
Searchers: try https://nthesis.ai/public/hn-wants-to-be-hired, https://www.wantstobehired.com.
608 comments
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Willing to relocate: No
Email: logandark@logandark.net
Technologies: I am full-stack and have been almost everywhere in the consumer market:
- Rust, TypeScript/JavaScript/Node.js/Bun/Deno, Swift/Obj-C, C/C++, Python, Go, C#
- Windows, Linux desktop/server, macOS/iOS, some BSD (mostly from macOS)
- Tokio/Rayon, React.js/Svelte/Angular, SwiftUI/some AppKit, wxWidgets, Asyncio/Twisted
- Desktop, embedded, web, backend, some mobile (mostly iOS)
- Burn, GGML, NumPy, some JAX, some Mojo, some MLX
Rust is definitely my favorite and TypeScript is up there as well.
I have used PHP, Scala, Haxe, Haskell and some others but would not call myself proficient in them. I could pick them up for a role though. I am a very quick learner.
I have been doing this for over 10 years & have a beefy personal machine. I am available to interview immediately and can start immediately. Contact me with anything.
Senior iOS engineer / Apple-platform consultant with 12+ years of experience.
I build and fix iOS and Vision Pro apps from medical devices and high-traffic consumer apps to vibecoded startups. I also help teams get difficult apps approved: App Store rejection triage, reviewer-note/metadata fixes, and fractional senior iOS support for startups.
Remote: Yes
Willing to relocate: Yes
Technologies: Penetration Testing, Reverse Engineering, Emulation, Bare-Metal Programming, Embedded, Electronics, GNU Radio/SDR, Python/C/Assembly, Linux/Unix/*BSD/Windows.
GitHub: https://github.com/chris-pcguy
Email: chris.jobshn2607@broke-the-inter.net
Spare-time project: https://github.com/ChefKissInc/Inferno (co-developing an open-source Apple Silicon emulator)
Remote: Yes.
Willing to relocate: No.
Email: david@somaticbits.com
Technologies: TypeScript, React, Node.js, Bun, TouchDesigner, Cables.gl, generative AI / LLM pipelines, real-time rendering, Figma Plugin API and anything else I can learn/explore!
Links:
AI & automation: https://www.davidpettersson.com
Generative & immersive art: https://www.somaticbits.com
LinkedIn: https://www.linkedin.com/in/david-pettersson
Resume/CV: https://www.somaticbits.com/David_Pettersson_Senior_Creative...
About me: Creative technologist bridging two things: AI tooling and automation for teams, and generative, immersive art. Same instinct on both sides: prototype fast, make the abstract real.
Recent work: Forward-deployed engineer for a major hospitality/marketplace company, building automated solutions that cut workflow friction and saved teams significant time.
Looking for: full-time or contract roles/consulting at the intersection of AI and creative tech, especially teams building novel tools or experiences rather than incremental features. Open to frontier AI labs, creative studios, or impact-driven orgs.
Remote: Yes, or hybrid if nearby
Willing to relocate: Possibly
Technologies: Python, Ruby, C, C++, C#, JavaScript, TypeScript, PowerShell, Flask, SQL, PostGIS, Shapely, Unity, Unreal Engine, multiple assembly/machine languages, Windows user code and kernel drivers, Google Maps and other map APIs, geographic and airspace data
Résumé/CV: https://www.geary.com/resume.html or https://www.geary.com/resume.pdf and https://www.linkedin.com/in/michaelgeary/
Email: mike@geary.com
Hi, I'm Michael Geary. I've programmed in many languages and environments over the years. Some of my current interests are:
• Developer experience. I love helping my fellow developers solve problems, and building tools to make their jobs easier and more enjoyable.
• Aviation and geographic data. For example, airspace and obstacle data importers for Wing; election results and voter information maps for Google; many interactive maps for other companies.
• Hardware interfacing. In a way, I am a "full stack" developer, but my stack may involve a front end to a piece of hardware rather than the cloud. I first got into programming via ham radio, so RF hardware remains an interest.
• Designing and building APIs. Too often an API is designed by exposing the internals of whatever system provides the API. My philosophy is the opposite: start with the apps. I like to build a series of sample apps before starting on the API. This way I can imagine what API will make those apps and others like them easy to build.
• Talk with users! I don't like to sit in a back room cranking out code. I want to make sure it's the right code for what my users need, and that it's easy to maintain and improve as we learn more about what they want.
Open to full time or contract.
I look forward to talking with you!
Remote: Yes (or Hybrid)
Willing to relocate: No
Technologies: Agile/Scrum, Payments Integration, Trading Systems, Data Pipelines, REST/API Architecture, AI/ML, Python, SQL
Résumé/CV: https://www.linkedin.com/in/eddiegeorge/
Email: eddie.george[at]egl.com
Senior technical Product Manager / CPO. CS from Imperial, MBA. Built an FX execution prototype from thesis to sub-second trading pipeline. Took a US consumer finance startup from blank page to full PRD, service blueprint, and compliance architecture. Spent a decade running a fintech startup network, mentoring founders from ideation to MVP. I'm at my best going from zero to one — architecture, sprint planning, and stakeholder alignment in the same week. If you need a strong tech product lead who gets deeply involved and moves fast, that's me.
Remote: Yes
Willing to relocate: No
Technologies: Swift, SwiftUI, Obj-C, Kotlin, C#
Native application development for iOS, Android, Mac and Windows with over a decade of experience. Creating and/or integrating APIs/SDKs. TV/Video applications on all platforms (Apple, Android, Amazon, Roku.) Extensive experience building products and platforms from the ground up.
Email: info at squirrelpointstudios dot com
Technologies: Python (Zope Interface/Component, Flask, FastAPI, SQLAlchemy, Cerberus), C++, Win32, WebView2, TypeScript, Vanilla JavaScript, HTML/CSS, SQL, AWS, Git, MPNet/Transformer, Unreal Engine (Blueprints), Blender
Resume/CV: https://baranzini.dev
Email: keith@baranzini.dev
Software Systems Engineer 9 months into writing code. Built and shipped EZInvoice - a full-stack, local-first invoicing desktop app currently in private beta on the Microsoft Store(link available on request). Across my portfolio, I independently implement Clean Architecture featuring a fully isolated domain layer via imperative mapping with SQLAlchemy, explicit dependency inversion via zope.interface/zope.component, and native TypeScript interface ports on the frontend. I bring a special focus with 4,000+ hours of architectural blueprinting in Unreal Engine. My active projects include a custom C++ allocator, a Live Object Inspection Tool for devs via Win32/Webview2, as well as a Sentiment Analysis API using a custom tuned transformer(MPNet) with an 8-base mood Plutchik system via FastAPI.
Remote: Yes (Any Timezone)
Willing to relocate: Yes
Technologies: TypeScript, JavaScript, React Js, TanStack Query, Supabase, Sanity CMS, Linux
Email: madhankumar150896 [at] outlook.com
Résumé/CV: https://drive.google.com/file/d/1dud1hdykdH7cVtLDRfpyGd5Csrf...
GitHub: https://github.com/MadhanKumarR150896
- Software engineer with 6+ years of experience working with production systems, debugging critical workflows, improving system reliability and supporting user-facing applications.
- Have been extending my skillset with modern frontend stack and “.Resolve” (https://resolve.madkum.com/), an internal SaaS ticketing dashboard prototype built from scratch. It features live state management and caching via TanStack Query, a backend powered by Supabase, and custom role-based access control workflows for users and support agents. While I kept the UI clean, I prioritized engineering the entire end-to-end workflow and business logic.
Looking for Frontend or Product Engineer with Frontend focused roles at present but not limiting to. Willing to pick up new stacks based on the project requirements with generalist mindset.
Thank you!
Remote: Yes (remote or hybrid)
Willing to relocate: Yes (SF, NYC, Austin, other US hubs)
Technologies: Python, TypeScript, Java, C++, FastAPI, NestJS, Next.js, React, Node.js, PostgreSQL, SQLite, Docker, AWS, PyTorch, Hugging Face, TRL, LangChain, LangGraph, LLM APIs (OpenAI/Anthropic), RAG, fine-tuning (GRPO/DPO/LoRA), multi-agent systems, observability, REST APIs, Git, CI/CD
Résumé/CV: https://darshannere.com/resume | https://github.com/darshannere
Email: darshan.nere2@gmail.com
Most AI agents in production are black boxes. When one fails, nobody can tell you why. I build the tooling that fixes that.
Tracea (tracea.dev): open-source observability for AI agents. Traces every LLM call by patching the HTTP transport layer, so there are no SDK wrappers, no framework lock-in, no code changes. Install and you see everything.
ObservAgent: local-first observability dashboard for Claude Code sessions. 1000+ active users, open source.
Before this: shipped a civic complaint platform to 50k+ users for a municipal government.
Looking for SWE engineer or AI engineer roles at startups building real production AI. High ownership, real users, hard problems.
Remote: Yes, open to remote, hybrid, or in office
Willing to relocate: Yes
Technologies: Fortran, Python (Matplotlib, Numpy, Pandas, Scipy), OpenMP, Git/GitHub, Linux, Bash, others...
Résumé/CV: Available on request
Email: cxrqnw5z@trettel.us
GitHub: https://github.com/btrettel
Personal website: http://trettel.us/
I'm Ben Trettel, an experienced mechanical engineer with a PhD, specializing in computational fluid dynamics, design optimization, and verification & validation of computer simulations.
I am particularly interested in opportunities to build cutting-edge physical products where computational simulation and design optimization are key.
I believe in using the right tool for each task. Strong infrastructure background (AWS, cloud-native, distributed systems). US C-Corp for contracting.
I've attempted to bootstrap products myself so I understand what it takes beyond writing code. I take full ownership end to end, I don't wait to be told what needs solving.
Immediate availability because my whole team was laid off recently, I'm used to work on US timezones. Open to senior IC or tech lead roles.
- GitHub: https://github.com/AlexITC
- Latest tech talk: https://www.youtube.com/watch?v=SJxEXAkxD3I
- Testimonials: https://alexitc.com/testimonials/
P.S: I also have decent experience leveraging AI to speed up my work, not vibe coding but holding AI-hands like I'd typically do with junior devs. I also have built multiple AI integrations.
I design agent topologies using A2A protocol, MCP, and Google ADK, own full lifecycle delivery from architecture to deployment, and interface directly with clients at the C-level.
3x Google Cloud certified, Claude Certified Architect, C1 English.
Looking for full remote AI Engineer or Forward Deployed Engineer roles in companies of any size as I like new and unexpected challenges !
My work focuses on high-risk database migrations, dangerous schema remediation, hot-path optimization, and making existing systems scale without rewriting the product.
Open to consulting or full-time roles where data is central and performance matters.
Technologies: Pytorch, Tensorflow, Langchain, Flutter, SwiftUI, Jetpack compose, React, Python, Node.js, Agentic LLM
Résumé/CV: https://drive.google.com/file/d/17Q2RJQa08TMMPwa9hk6PVzwCIk6...
Github: https://github.com/fidelisakilan
Email: fidelisakilan@gmail.com
CS graduate with 3+ years building and shipping production software at scale, I have worked on large scale production mobile apps to LLM-driven research systems, looking to bring systems, mobile and ML integration experience to high-impact engineering teams.
Remote: Yes
Location: UK (Flexible on your timezone)
Relocation: No
Languages\Tech:
* PHP + Laravel + PHPUnit/Pest + Livewire/Inertia
* Javascript/Typescript, React, Zustand
* Python
Backend: Laravel, Node
Frontend: React , Vue , Livewire
Email: PTGPSoftware@outlook.com
PHP/JS/TS Development, Extremely competitive rates available.
I build new projects and revitalize legacy code. I work mostly with Laravel and React/Inertia or Livewire.
I integrate modern tools pragmatically, adding real-time features via Websockets (Laravel Reverb etc) and AI capabilities like RAG for context-aware search and content generation.
I develop methodically – implementing tests for new features and maintaining clear documentation while keeping sharp focus on shipping tangible results. Through proactive communication, we'll collaboratively define the sweet spot between code quality and delivery pace.
Location: India (IST, UTC+5:30)
Remote: Yes
Willing to relocate: Yes (Europe, UK, Singapore)
Technologies: AWS, Kubernetes, Terraform, Linux, Docker, Python, Bash, Go, GitHub Actions, Jenkins, ArgoCD, Helm, Prometheus, Grafana, Datadog, Splunk, CI/CD, Infrastructure as Code, Platform Engineering, DevOps, SRE, Observability, Distributed Systems
Resume/CV: https://www.linkedin.com/in/vunitish/
Email: vullinitish@gmail.com
Senior DevOps / Site Reliability Engineer with 10+ years of experience building and operating large-scale cloud infrastructure and Kubernetes platforms. I've worked at two early-stage startups as well as with big tech companies including Microsoft and Google, delivering reliable, scalable infrastructure and developer platforms. Looking for Senior/Staff SRE, Platform Engineer, DevOps, Infrastructure Engineer, or Engineering Manager roles. Open to remote opportunities and international relocation.
Remote: Preferred
Willing to relocate: For the right role, though I'd prefer to stay in the PNW.
Technologies:
Resume/CV: https://jbarnes.dev/resumeEmail: jonathan [at] jbarnes.dev
LinkedIn: https://www.linkedin.com/in/barnesjonathane/
Hi, I'm Jonathan, a PhD physicist who moved into infrastructure: Linux systems, DevOps, and automation
I run infrastructure for an open-source blockchain project; a 40+ node Linux fleet covering provisioning, virtualization, DNS, monitoring, deployments, and user-facing services. I also operate a small IT/hosting consultancy where I own the full stack from bare metal up. Before this, my background was postdoctoral biophysics and ML research (GROMACS, SLURM, ML-assisted free-energy prediction) plus contract cloud engineering at a startup.
I'm a strong fit for platform, infrastructure, SRE, DevOps, or computational research roles. I do my best work in small, collaborative teams, and I'm comfortable wearing many hats.
20+ years across product, UX and frontend, now doing user-facing AI engineering.
What I do best right now: you shipped an app fast with Lovable / v0 / Cursor and it works, but it looks and behaves like the AI default. I take that codebase and make it actually usable and on-brand. Real design system in code (not a Figma file nobody maintains), consistent components, the polish and interaction layer that makes it feel like a product instead of a prototype. Done-for-you, in your repo.
I also help teams that already build with AI but get inconsistent, off-brand results, via a hands-on workshop / masterclass, so your people can produce in your own style instead of getting generic output.
Tech: React/Next.js, TypeScript, Tailwind, design systems / design tokens, Figma, Claude Code + agentic workflows.
CV/portfolio: https://kickboost.io/cv Email: jens.rusi@kickboost.io
Happy to start with a small paid scope so you can see the fit.
Remote: Yes
Willing to relocate: Open to Remote, Hybrid, and In Person roles
Technologies: Python, PyTorch, LangChain, FastAPI, ChromaDB, PostgreSQL, Docker, Google Cloud Run, AWS, GCP, React.js, SQL, spaCy, NetworkX
Résumé/CV: https://buvanipai.vercel.app/Buvani_Pai_Resume.pdf#view=FitH
Portfolio: https://buvanipai.vercel.app/
Email: buvanipai@gmail.com
MS CS (AI/ML) — Northwestern '24 | Currently: AI/ML Engineer
Building real-time voice AI pipelines (sub-800ms latency) and RAG systems at Bhuvi IT. Previously shipped distributed 8-GPU training at Argonne National Lab (2TB astronomical data, 1 week → 20 hours) and graph-based entity resolution (0.96 F1) as standalone projects. Comfortable across the full stack from model training to serverless cloud deployment.
Open to AI/ML Engineering, Applied AI, Software Engineering or Data Scientist roles.