Ask HN: Who wants to be hired? (June 2026)

SEEKING WORK

Location: EU

Remote: Yes (contract)

Technologies: TS/Next/React, Kotlin/Swift, C++, Python; Claude Code, Vercel AI SDK, LangChain

Résumé: https://www.ezulabs.com

Email: contact{at}ezulabs.com

For YC founders (or equivalent serious startups).

Ex-Silicon Valley engineer at junior-engineer cost. FAANG, YC, and OCV startup experience. Senior engineer by choice — IC track, no management ladder, working remote from the EU.

First task free, no invoice. Pick something off your backlog. I ship it. You decide.

No commitment after that. Contract, monthly invoice. Cancel anytime.

Free brainstorm calls — even if you never hire me. 30 min, no pitch.

EU timezone, 4 hours daily Bay Area overlap.

Location: Netherlands

Remote: Yes

Willing to relocate: No, but happy to work US hours (SF/NYC)

Technologies: TypeScript, React, Next.js, Supabase, PostgreSQL, Tailwind, Figma, REST APIs, Claude/Codex/AI tooling (not Grok)

Website: https://www.marcia.no

Email: [email protected]

About: Hey, I'm Marciano, a product engineer who designs and ships end-to-end. I take things from first concept and interface design all the way to working production code, no handoff in between. 7+ years of it: consumer apps, platforms, internal tools.

Some recent stuff: I built Stembuswijzer.nl, a polling station finder that went viral during the Dutch elections last year. I built Campfire.gg, a watch-together video platform. And I'm currently building Vit (joinvit.club), an all-in-one health tracking app (food logging, workouts, habits, body measurements).

I'm looking for a part-time engagement (roughly 24 hours/week) on something meaningful in health, sustainability, or community tech.

I'm at my best where design and engineering aren't separate roles, owning a feature from the Figma file to the deploy (I do admit I rather just work in code nowadays, but can still use Figma at the start). I work fast, think in systems, and care a lot about clarity, quality, and usability. If you're building something that should actually get used, let's talk :)

Location: Portland, OR Remote: Yes Willing to relocate: Not right now Technologies: Kotlin, Java, Spring, OAuth, Typescript, Svelte, React, Nest.sj, PostgreSQL, Jetpack Compose, Python Resume: https://julianfortune.com/resume/resume.pdf

I'm a full-stack developer with broad experience looking for my next role!

  Location: Victoria, BC, Canada
  Remote: Flexible
  Willing to relocate: No
  Technologies: TypeScript, Node.js, Deno, Go, SQL (mostly psql, duckdb, sqlite), React, Vue, Docker, Full-stack, AWS
  Résumé/CV: https://steve-adams.me/resume
  Email: [email protected]

Lately I'm in the spaces between data science and engineering reliable, high-performance, resilient, yet highly-usable tools for scientists and other developers, across the stack. It's a lot of fun.

Some recent projects:

- Performance tuning and infrastructure cost-reductions on https://oceanconnect.ca. It's faster and cheaper to run than ever. Costs are essentially cut in half, and performance across hot paths, on average, is about 30% better. There's now comprehensive observability across the stack, making it so we can rapidly diagnose issues with complex model processing pipelines and data acquisition systems. On top of that, the error rate has dropped dramatically despite increased visibility into what's going wrong (a lot of issues were silently swallowed by OOM culling in Lambda, for example). Also, I managed to reduce the storage footprint of the database by around 80% by more aggressively pruning obsolete data (especially raster tiles), tightening the sliding window around useful and aged-out data. This was done in part by partitioning data better so we could free it sooner without worrying about dead tuples and autovacuum. It's tighter, cleaner, faster, and cheaper to back up.

- Developing a low-cost solution to autonomously regulate temperatures in 40 saltwater tanks in a remote lab, using equipment which doesn't support remote controls. Using digital potentiometers inserted into each temperature controller, the system spoofs the tank's temperature to trigger heating or cooling, then observes until the correct temperature is reached. It uses several dissimilar redundancies, including a dead man's switch, to ensure there can't be run-away heating or cooling loops. The cost for new hardware with remote control capability came in close to $100K, but this solution (along with supporting software for designing temperature profile time series, monitoring tanks, and viewing historical data) is under $15K, yet required much of the same supporting software work. It's fully compatible with future hardware supporting direct remote control, as well; we'd only need to remove the temperature-spoofing loop and send set points to the units instead.

- A library for analyzing biodiversity datasets, inferring semantics about their data, and then creating a declarative configuration which can be used to transform the data to Darwin Core and validate it. It has a core library that can be used in any kind of client, like a CLI, web API, or a GUI. The declarative configuration makes it so datasets can be worked on in GitHub, then the CLI can run in a workflow to ensure it's still valid as it changes and grows. It uses DuckDB to make assertions about primitive types and data/relational integrity, then uses the application layer to make semantic assertions according to the specification's requirements. The entire workflow is highly supportive to scientists, explaining any issues with the data in very plain terms from start to finish. This has made it so scientists can make old records conform to the standard and have it ready for publishing far faster and with higher confidence than ever. At the same time, it also serves the purpose of helping scientists understand a large, complex standard one field at a time as they work through issues, rather than forcing them to tackle the entire standard from the outset. Ideally, this will lead to them working with the standard earlier and more often, with better knowledge and intuition for how to do so. It's built using Deno, Effect, Qwen 3.5 (for initial semantic inference passes), and DuckDB.

I'm also interested in LLM harness development and creating more deterministic agents with safety and behaviour guarantees.

My work experience is diverse, ranging from SaaS to science to a bit of firmware and robots. I'm interested in just about anything so long as it's genuinely useful, challenging, and the team is excited.

Location: Southern Ontario / Greater Toronto, Canada

Freeland or full time.

Remote: Yes

(or in person in west end Toronto or Oakville, Burlington, Hamilton, or Kitchener-Waterloo)

Willing to Relocate: No

Technologies: Rust, C++. Systems-level development, database internals, data structures, embedded systems

Summary: 25ish-years-experience systems software engineer. 10 years at Google. "Systems" level programmer, embedded systems, data structures, database internals, mostly in Rust. Plenty of open source experience. Looking for freelance, greenfield and/or interesting projects. Recent work all in Rust.

https://github.com/rdaum/ https://codeberg.org/ryandaum

https://timbran.ca/

Email: [email protected]

Location: US

Remote: Yes

Willing to relocate: No

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 (from RPi to hacking ereaders), web (from SPA to server-rendered), backend (from baremetal to Docker and beyond), some mobile (mostly iOS)

- GGML, NumPy, some JAX, some Mojo, some MLX

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.

Email: logandark @ logandark.net

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. $80,000/yr and up

Location: Washington DC area

Remote: Yes, some travel ok

Willing to relocate: No

Technologies: Strongest in web-stack + python + all manner GOFAI and modern AI

Résumé/CV: kemendo.com/andrew/KemendoResume2026.pdf

Email: [email protected]

I run givedirection.com, a cohort-based education program for AI workflow practitioners. My focus is on teaching people how to actually build and operate with AI individually or for companies integrating agent/AI workflows.

Background: USAF intelligence, founded and sold Pair Inc. (AR platform, 1M+ users, acquired 2019), CTO at Kessel Run, Principal Engineer at Unity Technologies, CTO at Gambit AI. Built findcovidtesting.com here with other HN people. Co-authored IEEE 7010 on ethical AI.

Open to AI training, education, curriculum design, or advising on long-horizon strategy. Ideal engagements align with or extend what I'm already building at Direction but I'm open to any 1099 or contract work, and the right full time job.

Note: I will not work for the US defense market so please don't reach out about US based defensed roles.

Location: Southern US

Remote: Yes

Willing to relocate: No

Technologies: JavaScript/TypeScript/Web, Python, C, Full-stack, AI/ML

Email: hello @ bad-software dot com

GitHub: https://github.com/soulofmischief

Full-stack JavaScript-focused engineer/entrepreneur with lots of experience in building scalable single page apps in different frameworks, web3, multiplayer web games, building transformers and other networks, all sorts of things. Product-oriented, executive and leadership experience, comfortable in both autonomous and collaborative settings, capable Linux sysadmin. I know how to ship, end to end.

I've focused for several years now on agentic and generative work such as simulating networked LLM-augmented embodied agents, interface research, too much to list here but always happy to talk more over email. While the rest of the industry is just starting to latch onto agentic systems, I can offer years of experience, product insight and leadership.

Available for consulting, startups, projects, anything web or agentic.

test 2

Location: Colorado, USA

Remote: Yes

Willing to relocate: Yes

Technologies: Golang (Go), C, Python, Java, SQL, git, Docker, Linux/POSIX, Internet & web dev, cloud IaaS, distributed, concurrency & threading, performance & scalability, some math & ML

Résumé/CV: https://github.com/mkramlich/portfolio/raw/refs/heads/master...

Email: [email protected]

programming for decades. solid fundamentals. troubleshooter. tech lead/arch. SRE-ish. solved legacy Heisenbugs & shipped, many times.

author of perf cheatsheet

writing book on HPC

US citizen, native English

ex Orbitz on core tech (JVM, GC, perf regress follow-up, ops, logs, instrum, caches, sessions, threads, db conns)

research & due diligence for US State Dept on public defenses against foreign adversarial propaganda & disinfo (ie. natsec) game engine creator & toolmaker since kid. once built small sw biz

recent client: sys prog R&D on mem alloc latency & SEGV resilience. C on Linux. delivered code, benchmarks, diagrams & report on how to upgrade perf & avail of their soft-RT (micros mattered), $-impacting backend

LatLearn: FOSS Golang latency instrum & reporting lib

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