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

Hacker News Discussion ↗

Overall focus of the thread

  • Monthly “who wants to be hired” thread with hundreds of people posting short self-profiles.
  • Dominated by software engineers, but also includes designers, product managers, security, data/ML, infra, and a few non-technical roles.
  • Most emphasize remote or remote-first work; relocation is usually conditional or limited to specific regions.

Technical specializations

  • Strong presence of:
    • Backend / systems: Go, Rust, Python, Java, C#, Node.js, JVM, .NET, microservices, high‑throughput and low‑latency systems.
    • Web / full‑stack: TypeScript, React/Next.js, Vue, Angular, Ruby on Rails, Django, Laravel, PostgreSQL, Redis.
    • Mobile / client: iOS (Swift/SwiftUI), Android/Kotlin, React Native, Flutter, macOS, some desktop (Electron, Qt, JUCE).
    • DevOps / platform / SRE: Kubernetes, Terraform, AWS/GCP/Azure, observability stacks, CI/CD, cost optimization.
    • Data / ML / MLOps: Spark/Flink, data warehouses, ETL/ELT, analytics infra.

AI and agentic systems

  • Large subset explicitly markets:
    • LLM integration, RAG pipelines, vector databases, evaluation harnesses.
    • Multi‑agent / “agentic” systems using LangGraph, LangChain, CrewAI, MCP, custom runtimes.
    • Applied AI in domains like search, developer tools, document processing, observability, and automation.
  • Several candidates highlight building full AI products (not just demos): latency, reliability, guardrails, evaluation, and cost control are recurring themes.

Product, design, and leadership

  • Multiple senior product designers, design engineers, and UX/UI specialists comfortable working “design-to-code”.
  • Product managers and “AI‑native” PMs who prototype and implement 60–80% of products themselves before handoff.
  • Engineering managers, CTOs, fractional CTOs, staff/principal engineers, and strategy/architecture advisors position themselves for leadership or advisory roles.

Engagement models

  • Many explicitly seek:
    • Contract, fractional, or consulting work (often with well‑defined rates or B2B setups).
    • Early‑stage / founding‑engineer roles with high ownership.
    • Short scoped sprints (e.g., performance tuning, infra migration, app rescue).

Privacy, scraping, and LLM-era concerns

  • A short meta discussion questions posting resumes and detailed profiles publicly in “the age of LLMs and data scraping”.
  • One commenter notes this is effectively a high‑quality dataset of wealthy targets; another replies these threads have existed for years and participants want to be found.
  • Separate comment wonders why resumes are still needed if one can just “write a very detailed prompt to AI,” implying shifting norms around hiring materials.