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

Remote: Yes (preferred)

Willing to relocate: For the right role, though I prefer to remain in the PNW

Seeking: Platform / Infrastructure / SRE / DevOps; also HPC, research infrastructure, and scientific computing roles

Technologies:

    * Infrastructure: Linux (Rocky/Debian/Arch), Kubernetes, Docker, Ansible, NGINX, GitHub Actions / CI/CD
    * Systems and networking: DNS (BIND/TinyDNS), Kea DHCP, NetBox, Zabbix, Harvester, Ceph
    * Cloud and hardware: Hetzner, AWS, colocated/on-prem bare metal
    * Programming: Python, Bash; working knowledge of Go, JavaScript, and SQL
    * Research/HPC/ML: Slurm, GROMACS, OpenMM, FoldX, PyRosetta, TensorFlow/Keras/PyTorch

GitHub: https://github.com/jbarnes-dev

Email: jonathan [at] jbarnes.dev

LinkedIn: https://www.linkedin.com/in/barnesjonathane/

I'm a PhD physicist turned infrastructure engineer. I maintain a 40+ node Linux fleet for an open-source blockchain project; covering automation, monitoring, deployments, and public services. I also run a small web-hosting business and have built cloud automation for bare-metal onboarding and Kubernetes-hosted VMs at a startup.

My earlier work was in computational biophysics, ML, and HPC.

I'm looking for a hands-on platform, infrastructure, SRE, or DevOps role, ideally on a small, collaborative team. I'm also interested in research or ML infrastructure roles where my scientific background would be useful. Having worked at startups in the past, I'm fine wearing multiple hats and enjoy the variety.

  Location: Buenos Aires, Argentina
  Remote: Yes
  Willing to relocate: Yes, US no sponsorship needed — EB-2 NIW approved
  Technologies: Python, C/C++, ClickHouse, Kafka, PostgreSQL, Redis, Docker, AWS, PyTorch, RL (PPO, GRPO), LLM-based agents
  Resume/CV: https://drive.google.com/file/d/1sF2AE0MRg-AFBmgU0Fk4ojXhqMG5oU4o/view
  LinkedIn: https://www.linkedin.com/in/maxim-anufriev
  Email: see CV, or message via LinkedIn

  Senior Software Engineer / Tech Lead, 15+ years across:

  - Trading systems (current): built and operate multiple trading
    strategies end to end — data collection pipeline at 100K+
    records/s, ML strategies live in production, LLM-based ops agent
  - Google (3.5+ yrs): multi-region infrastructure metadata platform (Cloud);
    Chrome Password Manager on Android
  - Hardware + research: quantum key distribution stack (single-photon hardware,
    FPGA integration), industrial fiber sensing (Phase-OTDR, Bragg), icebreaker
    hull monitoring
  - Founding backend engineer at a ticketing startup

  Mostly startup-like environments as a hands-on engineering lead. I like hard
  constraints — latency budgets, custom hardware, research-team integrations —
  and owning systems from architecture through production ops.

  Location: Austin, TX
  Remote: Yes
  Willing to relocate: No
  Technologies: Linux, Docker, Kubernetes, agentic development and automation, lots more
  Résumé/CV: https://112358132134.xyz/
  Email: dan.j.bednarski@gmail.com

Remote: Yes (2pm-11pm IST — full EU hours + US-East mornings)

Willing to relocate: Yes

Available: Remote immediately, on-site from Dec 2026 — final-year B.Tech CS, MNNIT Allahabad

Technologies: Python, C/C++, Docker SDK (sandboxing, cgroups), LangGraph, FastAPI, WebSockets, Numba, SQLite (WAL), Linux

Resume: https://drive.google.com/file/d/1XXZ-d2hf8wEJYx0O-kX310qkeHr...

Email: sriramvarun636@gmail.com

GitHub: https://github.com/sriramvarun0636

Systems plumbing, concurrent pipelines, and secure runtime isolation for agent startups. The claim I'd rather be judged on: not that my agents are correct, but that being wrong is discoverable. Write-up: https://sriramvarun0636.github.io/

Vasool — compliance-gated payment recovery agent on Razorpay's test APIs. I pre-registered seven falsification criteria before running anything, and then lost against one: a dumb baseline that retries everything recovers 16.35pp more than mine. It also breaks policy in 1,000 of 1,000 seeded runs; mine breaks it in 0. That trade is the finding, and it's the second section of the README, not an appendix. The LLM never calls a tool — inert verdict type, no adapter to the execution plane, asserted by an import-graph test. Simulated outcomes, tagged as such in the source; every figure is a key in a committed manifest, so you can check any number without running anything. https://github.com/sriramvarun0636/Vasool — 5-min walkthrough: https://youtube.com/watch?v=B0Iov6qAaqs

AutoPatch-AI — autonomous code remediation agent on a LangGraph state machine. Zero-trust Docker execution layer (network_disabled, 256MB RAM, 128 PID cgroup caps), real-time telemetry over thread-safe queues via SSE, AST-based parsing that cut context bloat ~80%. https://github.com/sriramvarun0636/AutoPatch-AI — 90s sandbox demo: https://www.loom.com/share/104cf5ebcfc144a09f49c62830755408

SentinelPrime — multi-threaded options system on live WebSocket data. Releases the GIL via Numba (nogil=True), actor model over daemon threads isolating DB I/O and API calls, fixed-size ring buffers to kill allocation overhead under 24/7 operation. https://github.com/sriramvarun0636/SentinelPrime

Looking for backend/infra/agent-systems work at pre-seed to Series A — founding engineer or engineer #2-5. Eval and agent-safety teams too. Standard loops are fine, and I'll also take a paid 2-3 week trial sprint on a real bottleneck in your codebase.

Remote: primarily, willing to travel to meet and collaborate

Willing to relocate: no

Technologies: Python, Go, Kotlin, Java, Swift, AWS, GCP, Terraform, PostgreSQL, Redis

Résumé/CV: https://robinsiep.com/experience

Email: contact [at] robinsiep.com

I’m a senior software engineer focused on system design and used to working with teams that are starting to strain under growth, complexity, or delivery pressure.

Over the last decade I’ve been working with startups and established companies, often in roles with end-to-end technical responsibility: from system design through implementation and production operation.

Recent work includes leading the architecture, implementation, and operational ownership of a distributed platform for venture capital workflows, as well as building and maintaining a survey fulfillment system. Both engagements included mentoring and coordinating engineers alongside delivery. More details can be found at https://robinsiep.com.

I'm currently interested in finding a more permanent role, but remain available for contract work in the meantime.