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

Remote: Yes

Willing to relocate: Yes, including internationally with sponsorship

Technologies: Go, distributed systems, Linux, storage engines, concurrency, mmap, io_uring, TCP/WebSockets, PostgreSQL, Redis, Kafka, Docker, gRPC

Résumé/CV: https://drive.google.com/file/d/11ASup-0rcQivWNIMR6mOoYqEkhe...

Email: ashishrathour1102@gmail.com

GitHub: https://github.com/AasheeshLikePanner

Backend/infrastructure engineer with ~1 year of experience, currently MTS at a YC-backed startup building sandbox and workflow infrastructure for AI agents.

Recent production work: - Cut persistent workspace setup from ~70s → ~10s and sandbox recovery from ~486s → ~14s while preserving sessions across restarts/code updates. - Made workflow registration idempotent across retries, duplicate hooks and out-of-order deployments, reducing workflow-sync failures from ~90% → ~1%. - Built reconnectable multi-client streaming with one canonical agent run per task. - Previously built a Go backend handling 10k+ concurrent WebSocket connections at sub-100ms latency.

Systems projects: - lsm-tree-go — LSM-tree storage engine with mmap WAL, bloom filters, sparse indexing and leveled compaction; profiled from ~250k to ~2M writes/sec and 5x BoltDB throughput on random writes. - vase — Go pub/sub broker using a lock-free ring buffer + mmap WAL; ~62x Redis throughput at 100 subscribers in my benchmark, with zero message loss across 5M messages at 1,000 subscribers. - Engram Engine — durable agent-memory layer using event sourcing + WASM isolation with sub-1ms sandbox overhead.

I write about the engineering behind these projects: https://medium.com/@ashishrathour1102

Looking for backend, infrastructure, platform, distributed-systems, storage-engine, or systems-programming roles. Especially interested in small/high-ownership teams working on runtimes, execution infrastructure, databases, developer infrastructure or reliability.

  Location: Bucharest, Romania & San Francisco, CA
  Remote: Yes (preferred)
  Willing to relocate: Yes
  Technologies: Python, Django, Svelte / TypeScript, Shell, Linux, PostgreSQL, Redis, Docker, Hugging Face, OpenAI, LlamaIndex, LangChain, AWS, GCP, Unity (C#), Git, Github Actions, Software Design & Architecture, Devops, Product, UX, Sales
  Résumé/CV: Available on request
  Email: hi [at] lucianlazar [dot] io
  GitHub: https://github.com/xucian

recent/notable work: maginary.ai (some revenue) and Optimized ScrollView Adapter at u3d.as/xXQ (actively supporting it since 2016) more: i dealt with rag pipelines on doc2exam.com (launch video: vimeo.com/1035566590), complex ai workflows on maginary.ai on routing prompts to 40+ image/video models with several intermediary steps for processing, fully-featured ai integrations for mores.ai (legaltech) where i also fought hallucinations in drafting documents using long iterative loops and extracting math using abstract syntax trees to be computed separately (llms are bad at math). also implemented an agentic system for finallymet.com (ai dating) using both email and imessage with a real phone number (live right now, you can text it and start building a profile etc.), has an intake agent, a profile-building agent, general chat/advice and concierge during an active match

    Location: EU, overlap with US East+West Time Zones
    Remote: Yes
    Relocation: No
    Technologies: Claude Code, Rust, C++, Python, Go, Zig, Haskell, TypeScript, JS, Nix, K8s, Terraform, PostgreSQL, Linux, PHP, React, infosec, ...
    Email: damianjobsites+hn@gmail.com
    CV: on request

宝 Multiple exits. Hands-on, or owning the whole technical org.

勝 Highlights:

— Managed organization of 60 world-class researchers and devs working on AI safety

— Designed and shipped a commercial LLM end-to-end that competed with ChatGPT (algorithms → training → MLops), now used internally at global orgs

— Expert at agentic workflows (Claude Code, harnesses, autonomous agents, LLM-powered dev)

— Shipped prod systems for Oracle, Shell, Time Warner, Bank of America, Sparkasse, Saatchi & Saatchi, Digitas

— Launched and audited major blockchains (e.g. Tezos - core team, Solana - 3rd party auditor)

— Built + scaled a software NGO (2M+ supporters, 1k+ volunteers)

睿 Strengths: Turn ambiguous problems into shipped systems; MVPs that don’t need rewriting; ML, LLMs, Foundation Models, RAGs, vector DBs; 10x–1000x performance wins on legacy systems; FP, Compilers, DSLs, distributed systems, security-critical code

功 Further work: Contributor: Rust Book, Rust By Example, Python docs, Haskell Communities and Activities Report; Dozens of audits, background in cryptography, infosec, formal methods

運 If you need someone who can own the stack and ship reliably, email me at damianjobsites+hn@gmail.com

命 Considering the following roles, as well as anything else that's interesting: Engineering Manager, AI Engineer, ML Engineer, Research Engineer, AI Researcher, Data Scientist, Data Engineer, Software Engineer, Senior Developer, Staff Developer, Principal Developer.

P.S. I thought I'd use graphemes instead of bullet points, since they carry meaning related to the paragraph. Kind of like a mini-heading!

Remote: Only

Willing to relocate: No

Technologies: Python, Ansible, Terraform, Kubernetes, Postgres, AWS/GCP/Bare Metal, and many more...

Resume/CV: https://www.linkedin.com/in/kurtismullins & https://www.kurtismullins.com

Email: hire@kurtismullins.com

18 Years of Experience in the SaaS + Web Apps -> Developer Tooling -> DevOps / SRE / Platform Engineering worlds. Currently freelance developer & DevOps/Infrastructure engineer. Open to projects and fractional work.

I've been playing with Claude and other agents in my homelab lately and its actually a lot of fun; tons of struggles to get it right but also many lessons learned. Outside of that, I am interested in homestead related projects (sensors, mesh networks), infrastructure & DevOps for games, sustainability and self-sufficiency, anything BJJ or grappling related, distributed systems, and would love to dip my toes into HPC again.

I have an LLC and we can work B2B or whatever your preference is... Just no staff augmentation roles, pretty please. Strong preference for asynchronous work or 4 hour time blocks; 15-25 hours/week.

Thanks!