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

Location: Charleston, SC Remote: Yes Willing to relocate: Yes Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus Resume/CV:https://drive.google.com/file/d/1L0ufKuiPJn1RoWWi25VUeg7xX6h... LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/ Email: zanedev28@gmail.com GitHub: https://github.com/Kcstills17 Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures. Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.

SEEKING WORK | Data scientist consultant | Canada/Remote Worldwide Most of what people call "data science" is now doable with an LLM and a weekend. I focus on the messy, ambiguous, regulation-heavy gnarly problems where nobody is sure what the right question is. Often it involves getting hands on to find the data and signal that's really needed. What I've done: - AI verification of building and architectural BIM/CAD against 400 page ESG standards. (Days of work down to minutes) - Part failure prediciton, saving a German automaker from lemon law recalls. ($20M+ exposure avoided) - Oil & gas well and lease production forecasting. - Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented) - Revenue optimization and persona identification for debt collections (15-20% net revenue lift) - LLM-based legal document extraction (land runsheet), reducing due diligence turnaround from 3 days to 30 minutes - Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings Things I'm unwilling to work on: - Gambling. - Ads/Surveillance. - Payday loans/rent-to-own. Email me with a short description of your problem. If it's hard enough, I'll reply within 24 hours.

Location: US (WA) Remote: Preferred Willing to relocate: For the right role, though I'd prefer to stay in the PNW. Technologies: * Languages: Python (proficient), Bash (proficient), JS/Go/SQL (familiar) * DevOps: Kubernetes, Ansible, Docker, Zabbix, DNS (TinyDNS/BIND), Harvester, Netbox, KeaDHCP, CI/CD, GHA * Platforms/infra: Linux (Rocky/Debian/Arch), Hetzner, AWS, Colo/On-Prem * HPC/ML: SLURM, Ceph, TF/Keras/PyTorch * Biophysical: GROMACS, OpenMM, FoldX, PyRosetta Resume/CV: https://jbarnes.dev/resume Email: 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.

Location: London (UK) Remote: Yes (Remote/Hybrid depending on location) Willing to relocate: No Technologies: Primarily Typescript, React, Bash, GitHub Actions Résumé/CV: https://punkbit.com/docs/cv-punkbit-helder-oliveira.20260417... Email: info (at) punkbit (dot) com I'm a Product Engineer and a creative based in London. I’ve built full-stack applications across web, mobile, blockchain and embedded platforms. My client-side work includes React, Electron, Roku’s Scenegraph, and native iOS development with Swift and SwiftUI, always with a strong focus on UX and design-first thinking. On the service-side, I’ve worked with traditional service hosting, containers, and serverless, including (but not limited to) AWS, GCP, Cloudflare, Workers, CloudFormation, SAM CLI, nodejs, bunjs, MySQL, Postgres, NoSQL, grpc, Redis, Docker, nginx, and a few legacy tools best left unnamed (yes, including CodeIgniter and ftp). I’ve also developed developer tools like CLIs and SDKs, primarily Typescript/JavaScript land, and have written code in systems languages such as Rust and Zig. I care about clean code, great UX, developer experience, documentation, rapid iteration and automating workflows with CI/CD (GitHub Actions, Bash scripts, etc). Also familiar with modern development practices by leveraging coding agents, such as pi, opencode, claude and LLM, including kimi over fireworks inference. Want to know more? https://punkbit.com

Location: Munich, Germany Remote: Yes Willing to relocate: Yes, internationally for the right role Technologies: Python, C++, statistical inference, probabilistic modelling, agentic development, ML evaluation, scientific computing, open-source research software, reproducible analysis pipelines, Git, CI/CD, pytest, Docker, HPC workflows Résumé/CV: https://drive.google.com/file/d/1e0p0BcPuZF4o0_4h6mf5P-qGPEZ... Email: lorenz.gaertner@gmail.com Research Engineer / Applied Statistics Engineer with a physics background and strong Python/C++ skills. I build statistical methods, probabilistic models, and research software for technically hard problems. In particle-physics research at LMU Munich, I developed a new statistical method used in multiple publications, built open-source Python software for automated statistical analysis workflows, and contributed to widely used research-computing libraries. My work sits between mathematical modelling and robust software: turning ambiguous inference problems into reusable tools, reproducible analyses, and clear technical explanations. I have presented technical work at international research-software and scientific-computing venues, including CERN and PyHEP, and have advised technical stakeholders in German parliamentary and international-agency contexts. Looking for full-time Research Engineer / Applied Statistics Engineer roles, especially where rigorous inference and evaluation matter. Particularly interested in AI evals/safety, applied statistics, scientific computing, and technical strategy.