Posted by whoishiring 2 days ago
Ask HN: Who wants to be hired? (July 2026)
Location:
Remote:
Willing to relocate:
Technologies:
Résumé/CV:
Email:
Please only post if you are personally looking for work. Agencies, recruiters, job boards,
and so on, are off topic here.Readers: please only email these addresses to discuss work opportunities.
Searchers: try https://nthesis.ai/public/hn-wants-to-be-hired, https://www.wantstobehired.com.
Location: Ontario, Canada
Remote: Sure
Willing to relocate: Within Canada
Technologies: Web/Mobile App Full-Stack, AI/Data Pipelines, IoT/Maps/Web3.
Résumé/CV: https://priteshtupe.com/resume.pdf
Email: mail@priteshtupe.com
Hello! So I'm on an open work permit in Canada, and looking for Canadian employers specifically. I don't need a sponsorship; just need to tick that employment requirement so I can file for a permanent permit. Thanks!Willing to relocate: No
6 years of experience working with production systems, observability and monitoring.
Main skills: - Linux - Datadog - AWS - Bash - Git - Docker - Terraform (in progress) - GitHub Actions (in progress)
Looking for: - AWS Infrastructure Support Engineer - SRE - Cloud Operations - Observability Engineer
Available for remote B2B contract.
LinkedIn+CV: https://www.linkedin.com/in/nataliia-dibrova
Email: dnatalyaalex@gmail.com
Willing to relocate: No
Technologies: Python, SQL, PostgreSQL, MySQL, Airflow, BigQuery, Docker, Kubernetes, Terraform, GCP, AWS, S3, MLflow, Scikit-learn, XGBoost, Prophet, OR-Tools, Superset, Tableau, Dash, Streamlit, Panel
Résumé/CV: Available on request
Email: data.wrangler.eu@proton.me
Senior data wrangler / “full-stack” data generalist with 10+ years of experience across analytics, data engineering, data platforms, data science, MLOps, applied AI, product, and business-facing data work.
I work best close to the action, going from vague operational problems to working tools. I’m comfortable talking to stakeholders, shaping the data/product solution, building the first version, and making it reliable enough for others to use. I like hands-on work: modeling data, writing code, building pipelines, training models when useful, creating dashboards and web apps, designing infrastructure, deploying tools, and iterating with users. I care about practical data work: making messy inputs understandable, building useful internal tools that improve business operations, avoiding overengineering, and choosing the simplest stack that gets the job done.
Past work includes:
- Leading analytics and optimization projects for operations-heavy businesses.
- Developing Python/SQL data pipelines, data models, data quality checks, Airflow workflows, and reliable reporting/analytics layers.
- Building dashboards, data apps, and client-facing reports with Superset, Tableau, Dash, Streamlit, Panel, and similar tools.
- Training and deploying ML models for forecasting, pricing, segmentation, churn, classification, entity extraction, and related use cases.
- Building AI/LLM prototypes for workflow automation and decision support.
- Running cloud data platforms with Kubernetes, Terraform, GCP, and AWS.
Looking for a small or scaling team that needs a senior hands-on data generalist: someone willing to work close to users, understand the business, build the data systems, and help turn rough ideas into useful tools.
Remote : Yes
Willing to relocate: No
Technologies: PostgreSql, MariaDB, Golang, Python, Terraform, Kubernetes, Backend.
Résumé/CV: Available on request.
Email: parminder.garcha@outlook.com
Database Engineer lots of experience within databases, comfortable coding, setting up entire backend database infrastructure from scratch.
Remote: Preferred, but flexible
Willing to relocate: For the right opportunity, yes
Technologies: Google Workspace, Microsoft 365, Asana, etc.
Résumé/CV: rubycares.net/personal-assistant
Email: RubyRogers2@pm.me
Hi! I'm Ruby, an operations partner and executive assistant who enjoys helping neurodivergent people build systems that actually work for their brains.
I help streamline workflows, manage projects, handle the administrative noise, and provide support so clients can focus on the work they're most passionate about. Think of me as a second brain for the operational side of your work and personal life.
If that sounds useful, I'd be happy to chat.
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I design things, then I make sure they actually ship. My toolkit is half intuition, half AI — Figma AI Suite, Antigravity & More. — and I know when to use which. I've put a music app in front of 550+ real users and a Figma plugin in 15+ countries, both from scratch. I work async, I work remote, and Product Analytics is where I come alive. Usability testing is where I'm still growing — and I'm okay saying that.
Willing to relocate: No
Technologies: VueJS,PHP,NodeJS,MySQL,MongoDB,AWS and the rest…
Résumé/CV: https://irphunky.notion.site/Mark-Harwood-5d68c301d33548ebb7...
Email: mark at phunky.co.uk
Looking for contract opportunities.
Location: Vermont, USA
Remote: Yes, happy to travel
Willing to relocate: No
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'm a first/founding engineer by background, and lately I've been taking on contract work that draws on that same skill set: helping teams figure out what to build and how, before committing engineering time to it. I'm comfortable owning a problem end-to-end, from initial scoping through architecture and into a working v1, and I communicate clearly about scope, risk, and tradeoffs along the way.
Good fits for contract work:
- Technical scoping and planning for a new product or platform before a team commits resources to it
- Architecture review and systems modeling, mapping out how a system should be structured, where the risk is, and what tradeoffs matter
- Greenfield builds where you need someone to plan and ship v1 without much hand-holding
- Forward-deployed engineering, embedding with your team or your customer's to take a project from spec to delivery
Recent relevant 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 work best when I can talk directly to whoever owns the problem, and I'm glad to start with a short, well-scoped first deliverable if that's an easier way to size up a fit.
Pragmatic about LLMs: effective for exploration, debugging, documentation, and tightly scoped implementation work when paired with strong engineering judgment and rigid testing.
Remote: Yes, or hybrid if nearby
Willing to relocate: Possibly
Technologies: Python, Ruby, C, C++, C#, JavaScript, TypeScript, PowerShell, Flask, SQL, PostGIS, Shapely, Unity, Unreal Engine, multiple assembly/machine languages, Windows user code and kernel drivers, Google Maps and other map APIs, geographic and airspace data
Résumé/CV: https://www.geary.com/resume.html or https://www.geary.com/resume.pdf and https://www.linkedin.com/in/michaelgeary/
Email: mike@geary.com
Hi, I'm Michael Geary. I've programmed in many languages and environments over the years. Some of my current interests are:
• Developer experience. I love helping my fellow developers solve problems, and building tools to make their jobs easier and more enjoyable.
• Aviation and geographic data. For example, airspace and obstacle data importers for Wing; election results and voter information maps for Google; many interactive maps for other companies.
• Hardware interfacing. In a way, I am a "full stack" developer, but my stack may involve a front end to a piece of hardware rather than the cloud. I first got into programming via ham radio, so RF hardware remains an interest.
• Designing and building APIs. Too often an API is designed by exposing the internals of whatever system provides the API. My philosophy is the opposite: start with the apps. I like to build a series of sample apps before starting on the API. This way I can imagine what API will make those apps and others like them easy to build.
• Talk with users! I don't like to sit in a back room cranking out code. I want to make sure it's the right code for what my users need, and that it's easy to maintain and improve as we learn more about what they want.
Open to full time or contract.
I look forward to talking with you!