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You will be the senior engineer on a small product team building a secure serialisation and verification platform — a system that issues uniquely identified, cryptographically protected printed codes at volume, and verifies them again in the field. The role spans backend services, ERP integration, cloud and on-premises infrastructure, and machine learning. It suits an engineer who prefers owning a whole system to owning one layer of it. There are no legacy codebase and no platform team ahead of you; the conventions you set early are the ones the team will keep. What you will do: Code generation and issuance Verification and records Platform, cloud and integration Machine learning Requirements: Six or more years of professional software engineering, including owning a production system end to end — you designed it, deployed it and were on call for it. Go — at least eighteen months of real production work. Strong engineers from Java, Kotlin, C# or Rust who have deliberately moved to Go will be considered. Python — confident enough to work inside a machine learning codebase, not only to write scripts. Google Cloud — production services on GCP (GKE or Compute Engine, Cloud Storage, Cloud KMS) with infrastructure as code (Terraform) and containers (Docker). Deploying the same workload into an on-premises data centre is a significant advantage. Key management and applied security — you have used a KMS or HSM properly. You know why secrets do not belong in environment variables and why a cryptographic random number generator is not interchangeable with an ordinary one. PostgreSQL — beyond basic queries. You have made indexing decisions, handled transaction isolation and survived a migration that went wrong. Odoo — practical experience integrating with or extending Odoo. You have used its XML-RPC or JSON-RPC API and have built or modified at least one custom module. Deep Odoo functional consulting is not required. Machine learning in practice — you have trained and evaluated models with PyTorch or TensorFlow, and can explain how you measured whether a model was genuinely working rather than merely scoring well.
Here's where they are and how to stand out in your next interview.
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.