Ask HN: Who wants to be hired? (August 2025)

Hacker News Discussion ↗

Hundreds of developers, data scientists, designers, product and infrastructure specialists from around the world use this monthly Hacker News thread to advertise their availability for new roles. Most emphasize strong experience in web backends, cloud, DevOps, and an increasingly heavy focus on AI/ML, LLM infrastructure, and agentic systems, with a clear preference for remote or flexible work and early- to mid-stage startups. A few commenters also note concerns about sharing personal details publicly and occasional responses from hiring managers pointing candidates to open roles.

Overview of Candidates

  • Very wide range of roles: backend/full‑stack engineers, ML/AI researchers and engineers, DevOps/SRE/platform, embedded/firmware, iOS/macOS and Android, data science/analytics, security, game/graphics, and infra specialists.
  • Also present: product managers, product/UX/UI designers, technical writers, data and content strategists, growth/marketing, recruiters, architects/CTOs, and fractional/consulting leaders.
  • Senior-heavy overall (10–20+ years common), but also PhD students, fresh grads, and first‑internship seekers.

Technologies & Domains

  • Strong clustering around:
    • Web stacks: TypeScript/JavaScript, React/Next.js, Node, Ruby on Rails, Django/FastAPI, Java/Spring, Go, C#/.NET.
    • Data & infra: PostgreSQL, MySQL, MongoDB, Kafka, Redis, Kubernetes, Terraform, AWS/Azure/GCP, CI/CD.
    • Systems/embedded: C/C++, Rust, ARM, RTOS, Linux kernel, eBPF, HPC, firmware for IoT/consumer devices, robotics, automotive/ADAS.
  • Domain foci include fintech, health/MedTech, trading/HFT, energy/smart grid, games, robotics, creative tech, mapping/geo, and security/pen‑testing.

AI / ML / LLM Emphasis

  • Very large subset oriented around AI:
    • LLMs, RAG, agents, evaluation, MLOps, GPU optimization, inference systems, neuromorphic computing, computer vision, and AI tooling.
    • Examples range from building large‑scale RAG search for enterprises and call centers to AI interview simulators, medical imaging workflows, and generative media tools.
  • Some emphasize ML research (benchmarks, safety, novel architectures); others focus on infra (fast/cheap serving, data pipelines, quantization, Slurm/HPC).

Work Mode, Geography & Constraints

  • Candidates are globally distributed: US and Canada, most of Europe, UK, India, Africa, Latin America, Middle East, Australia/ NZ, and SE Asia.
  • Remote‑only is the dominant preference, especially outside the US; many in major hubs (NYC, SF Bay Area, Seattle, Boston, London, Berlin) welcome hybrid or in‑office.
  • Several specify relocation constraints (e.g., only within EU, only certain countries, health or family limits), salary ranges, or refusal of equity‑only roles.

Meta‑Discussion & Interactions

  • A few replies give practical feedback (e.g., CSS suggestions for a resume site, broken links).
  • Some note security/PII concerns about posting detailed personal info in these threads.
  • Occasional job links are posted in response to specific profiles, plus one company‑side role (Proof) and several “we’re hiring, you should apply” replies.
  • A handful of posts are informal or humorous (e.g., “I just want money bro,” “sacrificial goat for stack ranking”), but the bulk are straightforward, targeted self‑pitches.