Posted by whoishiring 2 days ago
Ask HN: Who wants to be hired? (July 2026)
Location:
Remote:
Willing to relocate:
Technologies:
Résumé/CV:
Email:
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: Brazil
Remote: Yes (only)
Willing to relocate: No
Technologies: Python, Java, Javascript, C#, F#, Rust, Bash, Docker, PostgreSQL, DynamoDB, AWS (Cloud Formation, Lambda, Cognito, API Gateway, etc...)
Résumé/CV: https://www.linkedin.com/in/filipelbc/
Email: filipelbc@gmail.com
Looking for a role in a small company or startup with great engineering culture.
Remote: Yes
Willing to relocate: No, but willing to travel
Technologies:
Languages: Rust, JavaScript, TypeScript, Ruby, Python, C#, Java, .NET, Perl, SQL
Frameworks: React, Ruby on Rails, Angular, Svelte
Services and Platforms: Kubernetes, Docker, Amazon Web Services (AWS), Heroku, GitHub and GitHub Actions, Atlassian and JIRA
Methodologies: Agile, Scrum, Test-Driven Development (TDD), Behavior-Driven Development (BDD),
Databases: MySQL/MariaDB, Postgres, SQL Server
Operating Systems: Linux/Unix, Windows, Mac
Email: hire.hn@thirdtruck.org
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
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
Technologies: Kotlin (Android), Python (Django), Java, Dart (Flutter), Stripe, FHIR, Compose Multiplatform
About Me: Formerly at Google and Amazon, driven by a deep passion for software and technology
Contact: myerou {at} paleblueapps.com
LinkedIn: https://linkedin.com/in/myerou
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.
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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.
Remote: Yes
Willing to relocate: Yes (European citizen + LATAM)
Technologies: F#, OCaml, .NET, Rust, C++, Scala, Nix/NixOS, Clojure, PostgreSQL, AWS & Azure, Terraform & HCL, Kafka, Functional Programming (FP), gRPC, Microservices, Event-Driven Architecture, AI voice assistants and RAG, Xero, NetSuite, Sage, Intuit QuickBooks, Plaid and Teller APIs
Résumé/CV: Upon request
Email: mmagueta@member.fsf.org
Github: https://github.com/mmagueta
Senior backend and systems engineer with 8 years of experience, drawn to database development and fintech. I have a thing for impossible causes and genuinely enjoy the "the critical system is on fire and the team is gone" scenario. My experience ranges from .NET (F# and C#) to Clojure/Datomic on financial systems, where I integrated with a dozen APIs including Xero, NetSuite, Sage, Intuit QuickBooks, Plaid, and Teller; on the side I do OCaml and C++ on open source. Lately I'm very interested in database development, with deep knowledge of and a real appetite for database internals, especially relational and newSQL. I like making things reproducible and building tools that make our lives less miserable.
TL;DR: vast knowledge of the fintech ecosystem and database internals and management.
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.