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

Remote: Yes (preferred, EU timezones ideal, open worldwide).

Willing to relocate: Yes.

Technologies: C, C++, Go, OCaml, JavaScript, Common Lisp, Scheme, Python, x86-64 assembly. I can pick up new languages fast.

Comfortable using GNU/Linux (Guix, Gentoo, Debian), Git, Emacs.

Résumé/CV: https://codeberg.org/quanrong/CV/raw/branch/main/resume.pdf

Email: quanrong@mailbox.org

Recent BSc Computer Science (First Class Honours, University of London), with a previous degree in Asian Studies. Just finished a batch at the Recurse Center, where I focused on compilers and systems programming. Seeking an internship or entry-level software engineering role, be it full-time or part-time. Comfortable working close to the metal and reading other people's code.

Selected projects:

  - GCC: Contributed three patches to -fanalyzer adding handlers for the mktemp family (mkstemp, mkostemp, mkdtemp, and variants), with argument validation, three new warning flags, and success/failure path bifurcation enabling fd-leak and double-close detection. Accepted for GCC 17.

  - PolyML: Fixed overflow-handling bugs in IEEEReal.scan and Word.toInt to match the Standard ML spec.

  - GNU Guix: Package contributions to the upstream distribution since 2021.

  - Dolus: Scheme-to-x86_64 compiler in OCaml (in progress).

  - Built and deployed a voice data collection tool for a linguistic researcher at University of Barcelona, featuring a custom self-hosted voice conversational agent that interviewed study participants.  

Remote: Yes, and open to work in different time zones

Willing to relocate: No

Technologies: Python, SQL, PostgreSQL, MySQL, Airflow, BigQuery, Docker, Kubernetes, Terraform, GCP, AWS, S3, MLflow, Scikit-learn, XGBoost, Prophet, OR-Tools, Superset, Tableau, Dash, Streamlit, Panel

Résumé/CV: Available on request

Email: data.wrangler.eu@proton.me

Senior data wrangler / “full-stack” data generalist with 10+ years of experience across analytics, data engineering, data platforms, data science, MLOps, applied AI, product, and business-facing data work.

I work best close to the action, going from vague operational problems to working tools. I’m comfortable talking to stakeholders, shaping the data/product solution, building the first version, and making it reliable enough for others to use. I like hands-on work: modeling data, writing code, building pipelines, training models when useful, creating dashboards and web apps, designing infrastructure, deploying tools, and iterating with users. I care about practical data work: making messy inputs understandable, building useful internal tools that improve business operations, avoiding overengineering, and choosing the simplest stack that gets the job done.

Past work includes:

- Leading analytics and optimization projects for operations-heavy businesses.

- Developing Python/SQL data pipelines, data models, data quality checks, Airflow workflows, and reliable reporting/analytics layers.

- Building dashboards, data apps, and client-facing reports with Superset, Tableau, Dash, Streamlit, Panel, and similar tools.

- Training and deploying ML models for forecasting, pricing, segmentation, churn, classification, entity extraction, and related use cases.

- Building AI/LLM prototypes for workflow automation and decision support.

- Running cloud data platforms with Kubernetes, Terraform, GCP, and AWS.

Looking for a small or scaling team that needs a senior hands-on data generalist: someone willing to work close to users, understand the business, build the data systems, and help turn rough ideas into useful tools.

    Location: Sweden, EU

    Remote: Yes (UTC +/- 5)

    Willing to relocate: No

    Technologies: Go, Python, Java, C++, GCP, AWS, Terraform, Docker, Linux, CI/CD, WebRTC, gRPC, PostgreSQL, BigQuery, PyTorch, LLM APIs

    Résumé/CV: Available on request

    Email: (initproc) at (proton.me)

10+ years building infrastructure and backend systems at FAANG, FAANG-adjacents and early-stage startups. I've led projects across the full stack, from cloud infrastructure to product, through developer productivity and ML/AI pipelines, payments and real-time communication systems.

I'm particularly useful early on: greenfield architecture, getting a team to move fast without accumulating debt, and navigating compliance (SOC2, GDPR) without it becoming a distraction.

Remote: Yes

Willing to relocate: No

Technologies: Zapier, Make.com, n8n, Python, AI agents, webhook integrations, Google Workspace, Notion, Airtable, HubSpot, Stripe

Résumé/CV: https://northbeamstudio.gumroad.com/l/customautomation

I build custom workflow automations for solopreneurs and small teams. Flat rate €50, delivered in 48h. Typical projects: client onboarding flows, lead capture → CRM sync, invoice automation, social scheduling, AI-powered email triage.

If you just need a done-for-you solution without the overhead of hiring a full-time ops person, happy to scope it out. Reply here or grab a slot at the link above.