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

Location: Belgrade, Serbia

Remote: Yes

Willing to relocate: Yes

Technologies: Kubernetes (CKA), Terraform, Helm, Docker, Linux, CI/CD (GitHub Actions, TeamCity), AWS, GCP, Nginx, WAF, Prometheus, Grafana, Fluent Bit, Go, Python, Bash, TypeScript

Résumé/CV: https://ismd.dev/cv.pdf

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

Email: work-hn@ismd.dev

Senior Platform Engineer with 5+ years building cloud infrastructure at Yandex Cloud (one of the major public cloud providers in Russia/CIS), and 17+ years overall in software engineering.

- Led the migration of Cloud Console and UI services from VM-based instance groups to Kubernetes.

- Launched UI infrastructure for two new cloud regions (Israel, Kazakhstan).

- Coordinated platform work across a team of up to 14 engineers while staying hands-on in architecture and operations.

I’ve been researching how LLMs generate code since summer 2023. My main public artifact is this repository: https://github.com/danvoronov/CodeWithLLM-Updates

It’s a living research collection with 400+ commits covering practical experiments, usage patterns, step-by-step guides, model comparisons, AI coding tool evaluations (Cursor, Aider, Cline, Windsurf, etc.).

A large part of my work is *exploratory*: navigating large and messy information spaces, testing things hands-on, comparing different approaches, and identifying the small amount of signal that is actually useful.

My strongest skill is broad technical *investigation*. I can map an entire problem space rather than focus on a single tool, model, or hypothesis: find the relevant projects, papers, tools, workflows, discussions, benchmarks, and practical examples; test and compare what matters; and organize the results into a clear picture of the field.

The goal is not to arrive with a predetermined answer or recommend one particular tool. I can cover the *surrounding landscape* as thoroughly as possible and provide the evidence, comparisons, and structure. Your team can then decide which conclusions matter and what to do with them.

I can deliver the results as a structured PDF or HTML research artifact, or discuss the findings in a call. Depending on the project, I can also combine both formats: prepare a written report with the relevant evidence and comparisons, then walk your team through it and answer questions live.

I’m interested in projects where someone needs a broad, hands-on investigation of AI-assisted software development: understanding what exists, how different approaches compare, where they work, where they fail, and what is worth paying attention to.

I don’t know the conventional job title for this niche. If your team needs someone who can cover a large and changing technical field, turn scattered information into a structured overview, and give you a solid basis for making decisions, I’d be interested in talking.

Who: Dan Voronov Location: Kyiv, Ukraine Remote: Yes Github: https://github.com/danvoronov Email: dan.voronov@pm.me

  Location: Ljubljana, Slovenia (EU - CET timezone)
  Remote: Yes
  Willing to relocate: No (in exceptional case)
  Technologies: Node, Rust, Go, Python, AWS, CDK, strong CS&math fundamentals
  Résumé/CV: on request
  Email: monoid.consulting@gmail.com

Previous experience: Klarna, Stripe, Huawei, YC startups

  Location: Berlin, Germany
  Remote: Yes (preferably async, flexible on time zones)
  Willing to relocate: No
  Technologies: Python, TypeScript/React, LLM agents & orchestration, RAG, AWS/Terraform, PostgreSQL, ...
  Résumé/Portfolio: on request
  Email: jobs_or_recruiting@proton.me

Ex-founder doing Fullstack development with a focus on AI and backend for 8+ years. I launched successful AI products for customers before LLMs existed. At my last job (YC company) I built the in-house LLM platform from scratch. Evolved it from GPT-2 to today's models and scaled it to serve requests reliably, handling enterprise loads. I owned AI systems end to end: RAG, tool-using agents, complex orchestration, eval/observability. Successfully led several product developments from discovery, speccing and development to rollout.

Looking to keep doing that: deep AI work, driving and owning a feature, workflow or product at a company that is thinking and staying ahead in the times of AI.

Location: Zürich area, Switzerland

Remote: Yes - Switzerland-based

Willing to relocate: No

Technologies: AWS, GCP, Terraform/OpenTofu, Pulumi, CloudFormation, Python, C/C++, Docker, Kubernetes, GitHub Actions, GitLab CI, Datadog

Résumé/CV: https://drive.google.com/file/d/1TdwoBQPAtMstPnedxOnUVBBMKK5...

Email: contact@elena-arnaudova.com

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Software Engineer with experience across cloud engineering, infrastructure automation, and embedded software.

Most recently, I worked with AWS and GCP, infrastructure as code, CI/CD, observability, and Python automation. My projects included an AWS identity integration, automated cloud billing workflows, centralized logging for GCP environments, and an AWS IoT proof of concept.

Previously, I spent four years developing embedded C software for automotive systems.

I’m looking for Cloud Engineer, DevOps, Platform Engineer, Infrastructure Engineer, or Software Engineer opportunities.