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Role Overview We are looking for a Software Engineer who enjoys solving complex problems and working closely with analytics teams to turn insights into reliable, scalable software systems. In this role, you will act as a technical partner and consultant, helping analytics, data, and business stakeholders bring analytical ideas into production through well-designed applications, automated workflows, and AI-enabled solutions. You will remain firmly rooted in software engineering fundamentals while developing strong collaboration with analytics teams to ensure analytical outputs are usable, scalable, and production-ready. What You Will Do Collaborate within an Agile team to design, build, and maintain scalable, high-quality web applications and internal tools. Contribute across the full software development lifecycle, including requirements discovery, system design, implementation, testing, deployment, and maintenance. Work closely with analytics, data, and business stakeholders to ensure analytical outputs can be effectively integrated into applications, workflows, and decision-making systems. Apply practical knowledge of modern AI technologies (e.g., LLMs, embeddings, AI agents) to support analytics-driven use cases, automation, and decision support with hands-on implementation when needed. Design and implement automated workflows (e.g., n8n) that connect data sources, analytics tools, AI services, and downstream systems. What You Will Need 1–3 years of experience in software engineering or related field. Experience with Next.js, React, and TypeScript for building scalable, data-driven web applications and internal tools. Experience with TypeScript for backend services, automation, or integration with analytics and data systems. Working knowledge of SQL and MongoDB for interacting with analytical datasets and application data. Experience using Git and Docker in collaborative, production environments. Proficiency working in Linux-based environments. Strong software engineering fundamentals, including system design, debugging, and performance considerations. Ability to write clean, maintainable, and testable code, and to improve existing codebases over time. Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders. Commitment to software development best practices, including testing, documentation, and code reviews. Basic understanding of social media platforms, including user behavior and real-world usage patterns. Its a Plus If You Have Experience with Python for backend services, automation, or integration with analytics and data systems. Experience working in analytics-driven or data-heavy product environments. Hands-on experience using GenAI tools (e.g., GitHub Copilot, ChatGPT, Claude) to support development, automation, or problem-solving. Hands-on experience with automated workflow tools such as n8n or similar orchestration platforms. Familiarity with modern cloud and platform technologies such as Serverless architectures, Infrastructure as Code (IaC), GitOps, CI/CD pipelines, AWS, or Redis. Experience integrating with external APIs, including social network APIs (e.g., Facebook, X). Familiarity with Agile principles or Scrum frameworks. Experience coaching or mentoring engineers in collaborative, cross-functional teams. Why You'll Enjoy This Role You'll be encouraged to experiment, prototype, and iterate quickly in a supportive, Agile environment. You'll collaborate with smart, curious teammates who value learning, knowledge sharing, and continuous improvement.
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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.