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Senior Software Engineer (A2P Messaging/ Agentic Engineering)

DNA TechnologyCały światCały świat

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano23 września 2026
Wykryte przez nas
Wykryte przez nas24 września 2026
Zarobki
Zarobki25 200 - 30 240 PLN

DNA Technology is looking for a Senior Software Engineer to join a compact team building a high-volume, greenfield A2P messaging platform from scratch. You will design, implement, and deploy production-grade software while leveraging AI coding agents as a core component of your daily development workflow.

Key responsibilities

  • Own meaningful functionality end-to-end, from initial design and implementation to production readiness and operation.
  • Utilize AI coding agents throughout the full software development lifecycle for exploration, refactoring, testing, and documentation.
  • Work across APIs, application services, PostgreSQL, and asynchronous event-driven processing systems.
  • Collaborate with senior engineers and architects to build a modular, scalable architecture that supports parallel development.
  • Support the platform through migration and production operations, ensuring high reliability and performance.

Requirements

  • Minimum of 5 years of commercial backend engineering experience, preferably with Java or Kotlin.
  • Proven experience in telecom, messaging, CPaaS, or carrier platforms, including knowledge of SMPP, routing, and CDRs.
  • Demonstrated ability to orchestrate and supervise AI agents to deliver high-quality code.
  • Strong problem-solving skills with the ability to turn evolving requirements into pragmatic technical solutions.
  • Professional proficiency in English and a track record of taking full ownership of complex technical projects.

What we offer

  • The opportunity to build a greenfield platform that powers a real, revenue-generating telecom business.
  • A unique environment where agentic engineering is a core part of the delivery model, not just an experiment.
  • Direct collaboration within a small, senior-level team with short decision paths and high autonomy.
  • Exposure to challenging engineering problems, including high-volume transaction processing and distributed systems.
  • A long-term perspective involving the full lifecycle of the platform from initial build to production operation.

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