Who wants to be hired? (July 2026)

Who wants to be hired? (July 2026)

151 pointsby whoishiring520 comments

Discussion summary

Multiple developers from various locations are seeking remote or hybrid roles, with some open to relocation and visa sponsorship. Technologies range from Python and JavaScript to Rust and C++, with experience in full-stack, DevOps, and system development.

What the discussion says

  • Many candidates are open to remote work, some prefer hybrid or in-office roles.
  • Several are willing to relocate, depending on circumstances.
  • Candidates have diverse tech stacks including Python, JavaScript, Rust, C++, and more.
Willing to relocate: Yes
arikrahman
Remote: Yes, open to remote, hybrid, or in office
btrettel

Comments

Hacker News

Open to work: Senior Full-Stack Engineer (React/TypeScript/Node — AI-native)

Location: São Paulo, Brazil (UTC-3 — full overlap with US ET/CT, workable overlap with EU and ANZ)

Remote: Yes (remote-only, worldwide; contractor/B2B preferred)

Willing to relocate: No

Technologies: TypeScript, React, Next.js (App Router, SSR), Node.js, React Native, PostgreSQL, SQLite, Tailwind, REST/webhook integrations (Stays, Hostaway, WhatsApp/Meta APIs), Metabase, Docker, CI/CD. AI-native workflow: Claude Code/Cursor daily, multi-agent pipelines via Anthropic API, MCP.

Résumé/CV: https://alami.no/cv/dev/

Email: ricardo@alami.no

Senior full-stack engineer, 25+ years shipping software, Computer Engineering (University of São Paulo). Co-founded Gorila, one of Brazil's leading wealth-management fintechs — chose React Native to ship iOS and Android with a web team in 6 months (100k+ downloads), and as support director cut average ticket resolution from ~7 days to ~2 by rebuilding the workflow as a systems problem.

Currently I run Bookalyze, a BI platform for short-term rental management with paying B2B clients — designed, built, sold and operated solo, end to end. I work async by default: I write decisions down, unblock myself, and ship without supervision.

I treat AI as a thinking tool, not a shortcut — I architect and review, agents execute. This roughly triples my throughput without sacrificing code quality. Looking for: senior IC role at a product company (not agency/outsourcing), small senior team, async-friendly, USD/EUR contract. Fluent English, Spanish and Portuguese.

by ricalamino

Won't take much of your time, as I often post here:

So lately I have been doing a couple of things:

- Programming related: GenAI/LLMs, Data Pipelines, automation, scraping, enterprise business process automation in Python, n8n, PHP, and a few other tech.

- Implementing browser and server-side tracking to optimize Meta Ad spend by sending visitors' behavior data to Meta and other platforms to let their AI systems learn more about the website and Ad campaign.

I'm looking for individuals/orgs who discuss their problems; I listen and provide solutions; that's what I love to do and am good at; dealing with both the tech and biz side. Can you offer such a combo? Do buzz me. I'm sure you won't regret it. Below are my credentials

Profile: https://adnansiddiqi.me

Blog: https://blog.adnansiddiqi.me/

Demos: https://www.youtube.com/@adnansiddiqiprojects

Schedule: https://calendly.com/kadnan/one_one_15min

by pknerd

Location: Algeria Remote: Yes Willing to relocate: Yes LinkedIn: https://www.linkedin.com/in/ahmed-taha-houidi-380716352 Email: claengang@gmail.com

Technologies: Flutter, Android, Java, Kotlin, Firebase, REST APIs, SQL, Git, Google Play Console, Mobile Architecture, Product Strategy, AI-assisted Development (Claude, ChatGPT), Mobile Monetization, Analytics

Résumé/CV:

I’m a technical founder and solo software engineer with over 4 years of experience building and maintaining a consumer Android application that has surpassed 1 million installs.

I’ve independently handled nearly every aspect of the product lifecycle, including software architecture, mobile development, backend integrations, release management, Google Play compliance, monetization, analytics, growth strategy, and long-term maintenance.

I enjoy solving product and engineering problems, planning features, designing scalable architectures, and turning ideas into shipped products. I’m comfortable taking ownership, working directly with founders, and moving quickly in small teams.

I’m an AI-native developer and use tools such as Claude and ChatGPT extensively to accelerate development while maintaining production-quality code.

I’m looking for a remote role as a Founding Engineer, Product Engineer, Full-Stack Engineer, Mobile Engineer, or Technical Generalist at an early-stage startup where I can contribute beyond just writing code.

by Keezyno

Location: Munich, Germany

Remote: Yes

Willing to relocate: Yes, internationally for the right role

Technologies: Python, C++, statistical inference, probabilistic modelling, agentic development, ML evaluation, scientific computing, open-source research software, reproducible analysis pipelines, Git, CI/CD, pytest, Docker, HPC workflows

Résumé/CV: https://drive.google.com/file/d/1e0p0BcPuZF4o0_4h6mf5P-qGPEZ...

Email: lorenz.gaertner@gmail.com

Research Engineer / Applied Statistics Engineer with a physics background and strong Python/C++ skills.

I build statistical methods, probabilistic models, and research software for technically hard problems. In particle-physics research at LMU Munich, I developed a new statistical method used in multiple publications, built open-source Python software for automated statistical analysis workflows, and contributed to widely used research-computing libraries.

My work sits between mathematical modelling and robust software: turning ambiguous inference problems into reusable tools, reproducible analyses, and clear technical explanations.

I have presented technical work at international research-software and scientific-computing venues, including CERN and PyHEP, and have advised technical stakeholders in German parliamentary and international-agency contexts.

Looking for full-time Research Engineer / Applied Statistics Engineer roles, especially where rigorous inference and evaluation matter. Particularly interested in AI evals/safety, applied statistics, scientific computing, and technical strategy.

by lorenzennio

Location: London (UK)

Remote: Yes (Remote/Hybrid depending on location)

Willing to relocate: No

Technologies: Primarily Typescript, React, Bash, GitHub Actions

Résumé/CV: https://punkbit.com/docs/cv-punkbit-helder-oliveira.20260417...

Email: info (at) punkbit (dot) com

I'm a Product Engineer and a creative based in London. I’ve built full-stack applications across web, mobile, blockchain and embedded platforms. My client-side work includes React, Electron, Roku’s Scenegraph, and native iOS development with Swift and SwiftUI, always with a strong focus on UX and design-first thinking. On the service-side, I’ve worked with traditional service hosting, containers, and serverless, including (but not limited to) AWS, GCP, Cloudflare, Workers, CloudFormation, SAM CLI, nodejs, bunjs, MySQL, Postgres, NoSQL, grpc, Redis, Docker, nginx, and a few legacy tools best left unnamed (yes, including CodeIgniter and ftp).

I’ve also developed developer tools like CLIs and SDKs, primarily Typescript/JavaScript land, and have written code in systems languages such as Rust and Zig.

I care about clean code, great UX, developer experience, documentation, rapid iteration and automating workflows with CI/CD (GitHub Actions, Bash scripts, etc).

Also familiar with modern development practices by leveraging coding agents, such as pi, opencode, claude and LLM, including kimi over fireworks inference.

Want to know more? https://punkbit.com

by punkbit

Location: US (WA)

Remote: Preferred

Willing to relocate: For the right role, though I'd prefer to stay in the PNW.

Technologies:

    * Languages: Python (proficient), Bash (proficient), JS/Go/SQL (familiar)
    * DevOps: Kubernetes, Ansible, Docker, Zabbix, DNS (TinyDNS/BIND), Harvester, Netbox, KeaDHCP, CI/CD, GHA
    * Platforms/infra: Linux (Rocky/Debian/Arch), Hetzner, AWS, Colo/On-Prem
    * HPC/ML: SLURM, Ceph, TF/Keras/PyTorch
    * Biophysical: GROMACS, OpenMM, FoldX, PyRosetta
Resume/CV: https://jbarnes.dev/resume

Email: jonathan [at] jbarnes.dev

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

Hi, I'm Jonathan, a PhD physicist who moved into infrastructure: Linux systems, DevOps, and automation

I run infrastructure for an open-source blockchain project; a 40+ node Linux fleet covering provisioning, virtualization, DNS, monitoring, deployments, and user-facing services. I also operate a small IT/hosting consultancy where I own the full stack from bare metal up. Before this, my background was postdoctoral biophysics and ML research (GROMACS, SLURM, ML-assisted free-energy prediction) plus contract cloud engineering at a startup.

I'm a strong fit for platform, infrastructure, SRE, DevOps, or computational research roles. I do my best work in small, collaborative teams, and I'm comfortable wearing many hats.

by quipacorn

SEEKING WORK | Data scientist consultant | Canada/Remote Worldwide

Most of what people call "data science" is now doable with an LLM and a weekend. I focus on the messy, ambiguous, regulation-heavy gnarly problems where nobody is sure what the right question is. Often it involves getting hands on to find the data and signal that's really needed.

What I've done:

   - AI verification of building and architectural BIM/CAD against 400 page ESG standards. (Days of work down to minutes)
   - Part failure prediciton, saving a German automaker from lemon law recalls. ($20M+ exposure avoided)
   - Oil & gas well and lease production forecasting. 
   - Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)
   - Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
   - LLM-based legal document extraction (land runsheet), reducing due diligence turnaround from 3 days to 30 minutes
   - Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings
Things I'm unwilling to work on:

   - Gambling.
   - Ads/Surveillance.
   - Payday loans/rent-to-own.
Email me with a short description of your problem. If it's hard enough, I'll reply within 24 hours.

by Grosvenor

Location: Charleston, SC

Remote: Yes

Willing to relocate: Yes

Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus

Resume/CV:https://drive.google.com/file/d/1aBYTxqlWIKmm59UT5ffK493tKR0...

LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/

Email: zanedev28@gmail.com

GitHub: https://github.com/Kcstills17

Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.

Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.

by zanedev28

Join the discussion

Write your take first — we'll ask for email only when you're ready to publish.

  • Hacker News
  • Open to work: Senior Full-Stack Engineer (React/TypeScript/Node — AI-native)

    Location: São Paulo, Brazil (UTC-3 — full overlap with US ET/CT, workable overlap with EU and ANZ)

    Remote: Yes (remote-only, worldwide; contractor/B2B preferred)

    Willing to relocate: No

    Technologies: TypeScript, React, Next.js (App Router, SSR), Node.js, React Native, PostgreSQL, SQLite, Tailwind, REST/webhook integrations (Stays, Hostaway, WhatsApp/Meta APIs), Metabase, Docker, CI/CD. AI-native workflow: Claude Code/Cursor daily, multi-agent pipelines via Anthropic API, MCP.

    Résumé/CV: https://alami.no/cv/dev/

    Email: ricardo@alami.no

    Senior full-stack engineer, 25+ years shipping software, Computer Engineering (University of São Paulo). Co-founded Gorila, one of Brazil's leading wealth-management fintechs — chose React Native to ship iOS and Android with a web team in 6 months (100k+ downloads), and as support director cut average ticket resolution from ~7 days to ~2 by rebuilding the workflow as a systems problem.

    Currently I run Bookalyze, a BI platform for short-term rental management with paying B2B clients — designed, built, sold and operated solo, end to end. I work async by default: I write decisions down, unblock myself, and ship without supervision.

    I treat AI as a thinking tool, not a shortcut — I architect and review, agents execute. This roughly triples my throughput without sacrificing code quality. Looking for: senior IC role at a product company (not agency/outsourcing), small senior team, async-friendly, USD/EUR contract. Fluent English, Spanish and Portuguese.

  • Won't take much of your time, as I often post here:

    So lately I have been doing a couple of things:

    - Programming related: GenAI/LLMs, Data Pipelines, automation, scraping, enterprise business process automation in Python, n8n, PHP, and a few other tech.

    - Implementing browser and server-side tracking to optimize Meta Ad spend by sending visitors' behavior data to Meta and other platforms to let their AI systems learn more about the website and Ad campaign.

    I'm looking for individuals/orgs who discuss their problems; I listen and provide solutions; that's what I love to do and am good at; dealing with both the tech and biz side. Can you offer such a combo? Do buzz me. I'm sure you won't regret it. Below are my credentials

    Profile: https://adnansiddiqi.me

    Blog: https://blog.adnansiddiqi.me/

    Demos: https://www.youtube.com/@adnansiddiqiprojects

    Schedule: https://calendly.com/kadnan/one_one_15min

  • Location: Algeria Remote: Yes Willing to relocate: Yes LinkedIn: https://www.linkedin.com/in/ahmed-taha-houidi-380716352 Email: claengang@gmail.com

    Technologies: Flutter, Android, Java, Kotlin, Firebase, REST APIs, SQL, Git, Google Play Console, Mobile Architecture, Product Strategy, AI-assisted Development (Claude, ChatGPT), Mobile Monetization, Analytics

    Résumé/CV:

    I’m a technical founder and solo software engineer with over 4 years of experience building and maintaining a consumer Android application that has surpassed 1 million installs.

    I’ve independently handled nearly every aspect of the product lifecycle, including software architecture, mobile development, backend integrations, release management, Google Play compliance, monetization, analytics, growth strategy, and long-term maintenance.

    I enjoy solving product and engineering problems, planning features, designing scalable architectures, and turning ideas into shipped products. I’m comfortable taking ownership, working directly with founders, and moving quickly in small teams.

    I’m an AI-native developer and use tools such as Claude and ChatGPT extensively to accelerate development while maintaining production-quality code.

    I’m looking for a remote role as a Founding Engineer, Product Engineer, Full-Stack Engineer, Mobile Engineer, or Technical Generalist at an early-stage startup where I can contribute beyond just writing code.

  • Location: Munich, Germany

    Remote: Yes

    Willing to relocate: Yes, internationally for the right role

    Technologies: Python, C++, statistical inference, probabilistic modelling, agentic development, ML evaluation, scientific computing, open-source research software, reproducible analysis pipelines, Git, CI/CD, pytest, Docker, HPC workflows

    Résumé/CV: https://drive.google.com/file/d/1e0p0BcPuZF4o0_4h6mf5P-qGPEZ...

    Email: lorenz.gaertner@gmail.com

    Research Engineer / Applied Statistics Engineer with a physics background and strong Python/C++ skills.

    I build statistical methods, probabilistic models, and research software for technically hard problems. In particle-physics research at LMU Munich, I developed a new statistical method used in multiple publications, built open-source Python software for automated statistical analysis workflows, and contributed to widely used research-computing libraries.

    My work sits between mathematical modelling and robust software: turning ambiguous inference problems into reusable tools, reproducible analyses, and clear technical explanations.

    I have presented technical work at international research-software and scientific-computing venues, including CERN and PyHEP, and have advised technical stakeholders in German parliamentary and international-agency contexts.

    Looking for full-time Research Engineer / Applied Statistics Engineer roles, especially where rigorous inference and evaluation matter. Particularly interested in AI evals/safety, applied statistics, scientific computing, and technical strategy.

  • Location: London (UK)

    Remote: Yes (Remote/Hybrid depending on location)

    Willing to relocate: No

    Technologies: Primarily Typescript, React, Bash, GitHub Actions

    Résumé/CV: https://punkbit.com/docs/cv-punkbit-helder-oliveira.20260417...

    Email: info (at) punkbit (dot) com

    I'm a Product Engineer and a creative based in London. I’ve built full-stack applications across web, mobile, blockchain and embedded platforms. My client-side work includes React, Electron, Roku’s Scenegraph, and native iOS development with Swift and SwiftUI, always with a strong focus on UX and design-first thinking. On the service-side, I’ve worked with traditional service hosting, containers, and serverless, including (but not limited to) AWS, GCP, Cloudflare, Workers, CloudFormation, SAM CLI, nodejs, bunjs, MySQL, Postgres, NoSQL, grpc, Redis, Docker, nginx, and a few legacy tools best left unnamed (yes, including CodeIgniter and ftp).

    I’ve also developed developer tools like CLIs and SDKs, primarily Typescript/JavaScript land, and have written code in systems languages such as Rust and Zig.

    I care about clean code, great UX, developer experience, documentation, rapid iteration and automating workflows with CI/CD (GitHub Actions, Bash scripts, etc).

    Also familiar with modern development practices by leveraging coding agents, such as pi, opencode, claude and LLM, including kimi over fireworks inference.

    Want to know more? https://punkbit.com

  • Location: US (WA)

    Remote: Preferred

    Willing to relocate: For the right role, though I'd prefer to stay in the PNW.

    Technologies:

        * Languages: Python (proficient), Bash (proficient), JS/Go/SQL (familiar)
        * DevOps: Kubernetes, Ansible, Docker, Zabbix, DNS (TinyDNS/BIND), Harvester, Netbox, KeaDHCP, CI/CD, GHA
        * Platforms/infra: Linux (Rocky/Debian/Arch), Hetzner, AWS, Colo/On-Prem
        * HPC/ML: SLURM, Ceph, TF/Keras/PyTorch
        * Biophysical: GROMACS, OpenMM, FoldX, PyRosetta
    
    Resume/CV: https://jbarnes.dev/resume

    Email: jonathan [at] jbarnes.dev

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

    Hi, I'm Jonathan, a PhD physicist who moved into infrastructure: Linux systems, DevOps, and automation

    I run infrastructure for an open-source blockchain project; a 40+ node Linux fleet covering provisioning, virtualization, DNS, monitoring, deployments, and user-facing services. I also operate a small IT/hosting consultancy where I own the full stack from bare metal up. Before this, my background was postdoctoral biophysics and ML research (GROMACS, SLURM, ML-assisted free-energy prediction) plus contract cloud engineering at a startup.

    I'm a strong fit for platform, infrastructure, SRE, DevOps, or computational research roles. I do my best work in small, collaborative teams, and I'm comfortable wearing many hats.

  • SEEKING WORK | Data scientist consultant | Canada/Remote Worldwide

    Most of what people call "data science" is now doable with an LLM and a weekend. I focus on the messy, ambiguous, regulation-heavy gnarly problems where nobody is sure what the right question is. Often it involves getting hands on to find the data and signal that's really needed.

    What I've done:

       - AI verification of building and architectural BIM/CAD against 400 page ESG standards. (Days of work down to minutes)
       - Part failure prediciton, saving a German automaker from lemon law recalls. ($20M+ exposure avoided)
       - Oil & gas well and lease production forecasting. 
       - Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)
       - Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
       - LLM-based legal document extraction (land runsheet), reducing due diligence turnaround from 3 days to 30 minutes
       - Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings
    
    Things I'm unwilling to work on:

       - Gambling.
       - Ads/Surveillance.
       - Payday loans/rent-to-own.
    
    Email me with a short description of your problem. If it's hard enough, I'll reply within 24 hours.
  • Location: Charleston, SC

    Remote: Yes

    Willing to relocate: Yes

    Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus

    Resume/CV:https://drive.google.com/file/d/1aBYTxqlWIKmm59UT5ffK493tKR0...

    LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/

    Email: zanedev28@gmail.com

    GitHub: https://github.com/Kcstills17

    Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.

    Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.