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

    Location: India (open to relocation across Europe)
    Remote: Yes
    Willing to relocate: Yes
    Technologies: Go, Rust, C/C++, Python, Nix, Kubernetes (EKS, GKE, Kubeadm, K3S, Kubespray), Terraform, ArgoCD, FluxCD, AWS, GCP, Cilium, WireGuard, PostgreSQL, Kafka
    Resume: https://bin.wantguns.dev/resume
    Email: mail [at] wantguns [dot] dev

Infrastructure and backend engineer with a low-level systems background. Last 3 years as the sole or one of very few infra engineers at early-stage startups - owning everything from VPC topology to CI/CD to on-call.

Currently building cloud infrastructure for a GPU neocloud (H100/H200) from scratch. Before that, sole platform engineer at an autonomous driving research lab, and before that SRE at a YC-backed video comms startup (acquired by a major cloud provider) managing 20+ Kubernetes clusters across AWS and GCP.

On the systems side - wrote a custom Karpenter provider in Go for a cloud provider, a C++ initramfs to run Gentoo on bare-metal Android phones with Android userland in LXC (GSoC 2020), and ADAS software on Android using Cap'n Proto + ZeroMQ + LMDB serving 275+ vehicles.

Also wrote bin (github.com/wantguns/bin), a self-hostable pastebin in Rust with 300 stars. Outside of work I maintain a multi-continent server mesh across Hetzner, Oracle Cloud and bare-metal, all declared in a public Nix flake (source - https://github.com/wantguns/dotfiles, blogs -https://wantguns.dev/tags/yakshaving)

Location: Mountain View, CA

Remote: Yes

Willing to relocate: No

Technologies: Python, Rust, Typescript, Go, Infrastructure, DevSecOps

Résumé/CV: https://www.linkedin.com/in/glenbbaker

Email: iepathos@gmail.com

Hi, I'm a Staff engineer with 14+ years of experience. Spent the last 8.5 years building an early stage startup and following it through acquisition. I supported the post-acquisition transition by training and mentoring offshore engineers and helping maintain continuity as the company shifted from startup execution to standardized enterprise delivery.

My background spans backend engineering, infrastructure, and security, with hands-on work in Python, Rust, and TypeScript. I maintain open source projects and contribute when I can to core Rust projects such as Clap and Cargo. I’m a good fit for teams that need pragmatic execution and someone comfortable owning hard problems across systems, platform, and DevSecOps.

Location: Manhattan, NYC.

Contracts: Yes.

Remote: Yes.

Hybrid: Yes.

Willing to relocate: No.

Technologies: C/C++, C#, Win32, Linux, POSIX, SQL, etc.

Projects: Tcl/Tk, Eagle, SQLite, System.Data.SQLite, Fossil SCM, Comdb2, etc.

Interests: automation, cryptography, databases, developer tools & SDKs, distributed systems, (Internet) security, public key infrastructure, runtimes, sandboxing, scripting languages, testing, virtual machines, and LLM integration

Profile: https://w.sb/r/profile

Affiliations: Tcl/Tk Maintainer ( https://w.sb/r/tcl ), Formerly SQLite Development Team ( https://w.sb/r/sqlite )

Side Project: https://w.sb/r/code and https://w.sb/r/docs and https://w.sb/r/lsp

Résumé/CV: https://w.sb/r/resume

Email: [put_my_first_name_here] [at] [put_my_user_name_here] [dot] com

Phone: Please see "https://www.mistachkin.com/" for detailed instructions.

Note: All links here will redirect using my custom redirector.

Location: Göttingen, Germany (work authorization available) Remote: Yes (preferred) Willing to relocate: Yes (anywhere in Germany, open to EU) Technologies: Python, Go, PyTorch, vLLM, TensorRT, Kubernetes, ElasticSearch, Vespa, Apache Beam, PySpark, AWS, GCP Résumé/CV: https://bluenotebook.io/about Email: nikhil.kasukurthi [at] gmail [dot] com

ML Engineer with 8 years building production AI systems. Most recently Lead Data Scientist at Eka.care (healthcare, 100K+ doctors), I Deployed a Speech LLM (Whisper + Gemma 2) via custom vLLM plugins, cutting inference costs 60%. Built medical search from query log analysis through query decomposition on ElasticSearch (nDCG@10 +55%, relevance +160%). Designed MedAssist, an agentic LLM platform with MCP, adopted by Apollo Hospitals. Open-sourced KARMA (https://github.com/eka-care/KARMA-OpenMedEvalKit), an LLM evaluation library for Indian healthcare scenarios. Architected model serving on Kubernetes (vLLM, RayServe, TensorRT), cutting costs 50% vs SageMaker.

Before that: search ranking at Udaan (India's largest B2B marketplace, +10% conversion via A/B-tested LTR models), research at NCBS-TIFR (published in Bioinformatics), and clinical AI at SigTuple (retinal disease detection through CE certification). 3 peer-reviewed papers (IEEE ISBI, Bioinformatics). Recently completed Stanford CS336 (LLMs from scratch) with distributed training on H100 clusters. Looking for: Senior/Staff ML Engineer, Applied Scientist, or AI Engineer roles. Especially interested in search/retrieval, LLM infrastructure, or applied ML.

LinkedIn: https://linkedin.com/in/nikhil-kasukurthi GitHub: https://github.com/nikhil-kasukurthi