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

  Location: San Diego, California / Lopez Island, Washington

  Remote: Preferred.

  Technologies/skills: Ruby, Ruby on Rails, RSpec, Git, Turbo/Stimulus, TailwindCSS/TailwindUI, AWS, Kamal, HTML, CSS, JavaScript, SQL, APIs, people

  Resume/CV: Ruby on Rails professionally since 2008 at Shopify, Apple, Intuit and a bunch of startups as well. 

  Email: bradly@rails247.com

Open to consulting/contract work or salaried positions. Please reach out for specifics. More info at https://bradlyfeeley.com

20+ years building products, platforms, and distributed systems that remain understandable as they scale.

Location: Vermont, USA

Remote: Yes, happy to travel

Willing to relocate: Maybe

Technologies: TypeScript, Node.js/Deno, PostgreSQL, Redis, AWS, React, Elasticsearch, Databricks/Spark, FFmpeg

Résumé/CV: https://en.masher.media/about.html>

Email: hn@masher.media

I've mostly been a first or founding engineer, owning and evolving end-to-end systems in fast-moving environments. I focus on high-throughput pipelines, messaging platforms, media processing, recommendation engines, and real-time infrastructure.

I also build real-time dashboards and browser-based tooling to observe, debug, and control these distributed systems, using local-first storage and media processing as well as real-time communication workflows. I design systems that remain understandable and resilient under load, retries, and partial failures.

Recent work:

- Built a messaging system delivering millions of emails and push notifications in minutes (retries, deliverability, observability)

- Deployed real-time pipelines and recommendation systems for tens of millions of users

- Launched a browser-based video editing and encoding platform using FFmpeg, Supabase, and AWS serverless

- Scaled event ingestion 100x to power analytics, experimentation, and targeting

I do my best work in small, product-focused teams where engineers stay close to production, communicate early about risks and tradeoffs, and work directly with customers to solve concrete problems.

Currently interested in full-time, part-time, or contract:

- Forward deployed engineering

- Founding or early engineering

- Platform and systems engineering

- Data engineering

Pragmatic about LLMs: effective for exploration, debugging, documentation, and tightly scoped implementation work when paired with strong engineering judgment and rigid testing.

Location: Phoenix, AZ, USA

Remote: Yes

Willing to relocate: Yes

Technologies: JavaScript/TypeScript, Ruby, Python, React, Node.js, SQL, Express, Jest, PostgreSQL, PGVector, MongoDB, Claude (skills, etc.), Cursor, Mastra (Agentic AI Framework), OpenAI API, AWS (CDK, SDK, EC2, EKS, S3, Lambda), Vite, Zod, Docker, Nginx...

Résumé/CV: https://drive.google.com/file/d/1eQgaQWEbT3vpviilorQSzYB_urx...

Email: alex.stout55555@gmail.com

Hi, I'm Alex Stout, a full-stack software engineer who's combined their mastery of the fundamentals with AI development experience. Earlier this year I helped launch version 1.0 of the TypeScript-based Mastra AI framework, e.g. I built a native Datadog LLM trace exporter. More recently, I’ve been conducting small-scale agentic AI systems research, and integrating AI capabilities (like building an MCP) into an GovQL, an open source project using GraphQL to query federal government data. I also have non-AI greenfield experience, e.g. last year I co-created Unilogs, a highly scalable log observability platform featuring a condensed one-step deployment to AWS (read more about it in the case study I wrote here: https://unilogs.github.io/).

Location: Toronto, Canada

Remote: Yes (or hybrid)

Willing to relocate: Yes

https://joecardoso.dev

What I do: I build agentic systems and full-stack infrastructure — things that ship, observe themselves, and run autonomously.

Recent work:

- Founding contributor at NimbleBrain: designed the agentic loop and workflow engine that guides AI agents through building and publishing MCP server integrations end-to-end

- Co-created Vispyr: self-hosted observability platform on AWS with automated infra provisioning, OTel instrumentation, and a full Grafana telemetry stack

- Mozilla Firefox contributor: accessibility and DevTools CSS refactors

Stack I reach for: Python, TypeScript, AWS, Docker, PostgreSQL, Grafana stack, OpenTelemetry, MCP

AI-native: I build with Claude Code daily. Comfortable across the agentic toolchain — RAG, vector DBs, MCP, context engineering.

Resume: https://drive.google.com/file/d/179YWmLYuUz9Cfd-aOLGcgKpWbuz...

Email: jow13_122@yahoo.com

Profile: I'm a Canadian citizen Full-Stack SWE co-creator of Vispyr, an end-to-end, self-hosted, observability tool with automated infrastructure deployment, contributor to Mozilla Firefox, and a founding contributor to NimbleBrain.