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

  Location: Singapore
  Remote: Open to on-site
  Willing to relocate: Yes!
  Technologies: Python, HTMX, Alpine.js, Nix, Rust, TF, Postgres, Docker, GHA
  Résumé/CV: https://rrv.sh/static/cv.pdf
  Email: rafiq@rrv.sh

10+yrs of exp, including going from 0 to 1.

Willing to work for equity and chicken nugget money.

0% price-dump subsidized AI codegen

0% npm/pip install Supply chain risk

100% handmade python backend moat

(Courtesy Vanilla JS frontend included)

Email: hn@tomaszubiri.com

Location: Argentina, Buenos Aires (GMT-3)

Remote: Yes

Willing to relocate: if we hit paydirt

Technologies: Python, any POSIX compliant operating system such as Linux, HTTP straight from RFC 1945, OpenAI compatible API... and we're good

Résumé/CV: https://drive.google.com/file/d/1YtGhgZOstKibmWzyibCbK1ZBN3n...

P.S: Filter/interview questions allowed directly in this thread.

Remote: Yes

Willing to relocate: Open to the right role, prefer remote Technologies: SIEM/SOAR, Splunk, Azure Sentinel, ELK/OpenSearch, Logstash, Cribl, Fluentd, Datadog, XSOAR/Demisto, Splunk Phantom, Swimlane, Tines, SentinelOne, Microsoft Defender XDR, Defender for Endpoint, Defender for Office 365, CrowdStrike, OpenEDR, Wiz, Palo Alto, CyberArk, Okta, SAML/SSO/ADFS, Intune, Jamf, Kandji, osquery, KnowBe4, Rapid7, Cisco Umbrella, Abnormal Security, Avanan, Zeek, Suricata, Security Onion, SIGMA, YARA, STIX/TAXII, MISP, TheHive, Cortex, Python, Go, Bash, Docker, Kubernetes, Helm, AWS, Azure, GCP, Qubes/Xen, DRAKVUF, libVMI, LLM integration, RAG, MCP, prompt engineering, AI security, EU AI Act, Google SAIF, ISO 42001, SAST/SCA/IAST/DAST automation

Résumé/CV: available on request

Email: keatonarter@pm.me

Senior Security Engineer with 5+ years of experience across SIEM/SOAR automation, detection engineering, cloud security, endpoint security, threat intelligence, and incident response. I have built and maintained large-scale logging and detection pipelines, custom SOAR integrations, Splunk/Azure Sentinel/ELK detections, XSOAR/Phantom/Swimlane playbooks, and security automation workflows for federal and enterprise environments.

Recent work includes securing Azure-hosted Logstash collectors, integrating Microsoft Sentinel / Log Analytics ingestion from endpoints, appliances, APIs, and network devices, hardening deployment pipelines with Git tag verification, cryptographic signatures, SHAsum validation, and pinned Docker image digests, and reducing SOC alert fatigue through better detection logic and automation.

I am especially interested in roles around security automation, detection engineering, cloud security, AI security, product security, incident response, or security platform engineering. I enjoy making security quieter, faster, and easier for engineers and analysts to live with.