Posted by whoishiring 9 hours ago
Ask HN: Who wants to be hired? (March 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.
There's a site for searching these posts at https://www.wantstobehired.com.
I have over a decade of experience as a web full-stack developer and in games and a prior career as an animator / tech artist. 3D in the web is a particular area interest for me and I have personal project to build a Houdini like art tool / game engine in the browser using WebGPU.
I'm at home in nebulous and rapidly changing conditions with lots of autonomy. Let's make something cool together.
- Currently an engineering manager at a FAANG, but looking to get out sometime soon. I'm curious about what else is out there, so open to many different company sizes, verticals, etc.
Remote: Yes
Willing to relocate: Yes
Technologies: Python, Go, Elixir, Docker.
Résumé/CV: https://www.linkedin.com/in/juanpabloabarzua/
Email: jpabloaj(at)gmail.com
Remote: Yes
Willing to relocate: No
Technologies:
AI Platform & LLM Systems: RAG architectures, LLM orchestration, control planes, routing & fallback logic, evaluation frameworks (Langfuse, deepeval), trace-level observability, prompt/version management, context engineering, agentic workflows
Distributed Systems & Infrastructure: High-availability design, autoscaling concepts, failure modeling, SLO/SLA enforcement, load balancing (HAProxy/Nginx), Kubernetes, Docker, cloud-native architectures(AWS/GCP/Azure), Rackspace, Terraform, Ansible, Chef, Linux, Solaris, ZFS
Systems Design & Leadership: Architecture Reviews, Design RFCs, Failure Modeling, Incident Postmortems, Cross-team platform enablement
Languages: Python, SQL, Bash
Databases: PostgreSQL (expert: performance tuning, query optimization, replication, partitioning, migrations, security), MySQL (strong: performance tuning, optimization), CockroachDB, Cassandra, MS SQL Server, Oracle
Résumé/CV: https://paste.centos.org/view/1edc49afEmail: psinghpayal@outlook.com
Summary: Over a decade of experience scaling distributed systems in production, designing reliable systems around critical processess, and optimizing for performance, security, robustness, and efficiency. If you want someone who can come in and build production-ready AI systems/agents, I'm the one you're looking for :)
Location: Medellín, Colombia Remote: Yes! Willing to relocate: No
Technologies:
* System engineer: Rust · query engines · programming languages · VMs · transactions · storage · performance optimization · data modeling
* Databases: RDBMs · PostgreSQL · SQL Server · SQLite · SpacetimeDB
* Backend: Business logic · APIs creation · integration · orchestration · ETLs
* Additional: Python, F#, Swift, Web assembly, Git, Jujutsu, macOS, Linux (NixOS, Debian), Windows
Résumé/CV: https://www.linkedin.com/in/mario-alejandro-montoya-cortés-6... Email: mamcx@elmalabarista.com https://www.elmalabarista.com
Software engineer with 30+ years building production-ready business applications and 3+ years as a core database engineer building high-performance RDBMs.
Founder and principal engineer of small ISV with a long track record of owning complex systems end-to-end, from low-level design to production reliability. Driven to learn new domains quickly and choose the simplest effective architecture, tools and paradigms for each problem.
Also open to do custom software development!
Remote: Yes
Willing to relocate: Yes
Technologies: Rust, C/C++, Python, pretty open to anything really
Résumé/CV: On request.
Email: hanif.ariffin.4326@gmail.com
Blog: https://hbina.github.io/
GitHub: https://github.com/hbina
I have 5 years professional software development experience with a history of open source contributions. I have experience developing low latency (<500ns) library, kernel bypass networking software (SolarFlare and AF_XDP), processing terabytes of data every day and infrastructure work in Python.
Recently, I have been dabbling with the kernel (interrupts), distributed filesystem (ternfs) and ZSTD (attempting a rewrite in Rust). Plus, I have been meaning to write more non-technical stuff in my blog so that has been consuming me most recently.
Location: Montreal, QC, Canada
Remote: Yes. Open to hybrid
Willing to relocate: No
Technologies:
- Infrastructure & Cloud: AWS, GCP, Terraform, Vagrant, Ansible, Packer
- CI/CD & Automation: Jenkins, Bitbucket Cloud, CI/CD, Git, SVN
- Programming & Scripting: Python, Bash, PHP, JavaScript, HTML, CSS
- Testing & Quality: PHPUnit, Behat, Selenium
- Databases & Cache: MySQL, Redis, Memcache
- Networking & Security: Nginx, Apache, Cloudflare (WAF, Workers, Zero Trust)
Résumé/CV: https://docs.google.com/document/d/1DqO7R6gn7YjFTZf3_FpaLc1Hy0cznC-BnFQ8biN_nGI/edit?usp=sharing
Email: michael@michaeldelle.comAbout Me 4+ years iOS at Gojek (SE Asia super-app). GSoC alum. 6 apps shipped.
Looking for iOS/mobile roles, open to relocation.
Services: Healthcare data engineering, Clinical data pipelines, AI/ML integrations, Cloud architecture, Full-stack development, Technical Discovery
About Me: I'm Karan Krishnani, an independent software consultant with almost 20 years of experience. For the last several years I've been focused on healthcare tech, building HIPAA-compliant data pipelines, clinical analytics infrastructure, and AI applications for organizations like Tuva Health, NYU Langone, and VA.gov. I work best as a fractional embedded team member for healthtech companies that need senior technical help without a full-time hire.
Technologies: Languages: JavaScript/TypeScript, Python, Java | Frontend: React/Next.js, TailwindCSS | Backend: Node.js/Express, Django, GraphQL | Cloud: AWS, Azure, GCP, Vercel, Supabase | Data: Databricks, Snowflake, dbt, DuckDB, Tuva Data Model | AI/ML: RAG pipelines, OpenAI, Vector Stores, Hugging Face | Other: Docker, Terraform, DataDog, Git
Recent work: Tuva Health (Principal Architect, HEDIS quality measurement platform, millions of patient records), KeyWell (HEDIS measure logic in Databricks), NYU Langone (provider scheduling), VA.gov (AI chatbot).
Résumé/CV: https://karankrishnani.com/resume LinkedIn: https://linkedin.com/in/karan-krishnani Email: karan.krishnani@gmail.com