Senior Backend Engineer ID63949

Há 9 horas

braga, Portugal AgileEngine, LLC. Tempo integral

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

Why Join Us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you

About the Role

We are looking for a Senior Backend Engineer to design and maintain scalable, secure backend systems that power a high-scale consumer dating platform. You will work with Kotlin and AWS-native services, owning projects end-to-end from architecture to production delivery. The role includes mentoring junior engineers and contributing to technical standards, with AI-assisted development tools integrated into the engineering workflow.

What You Will Do

  • Design, implement, and maintain backend systems that are scalable, secure, and reliable, using AWS-native services.
  • Drive individual projects from inception to delivery, owning the full software development lifecycle.
  • Collaborate with Product Managers, Designers, and other Engineers to ship new features and improvements.
  • Apply AI-based development tools and workflows to enhance productivity and code quality.
  • Participate in architecture discussions and propose technical solutions that support long-term scalability.
  • Support junior engineers through pairing, mentoring, and code reviews.
  • Contribute to engineering standards and best practices to maintain a high-quality codebase.

MUST HAVES

  • 5+ years of professional experience in backend Kotlin software engineering.
  • 2+ years working with cloud environments, preferably AWS, including deployment and monitoring.
  • Proven experience using AI-powered development tools (e.g., Cursor, Claude, ChatGPT) as part of day-to-day engineering workflows, along with hands-on experience integrating and supporting AI/LLM-powered features or services in production systems.
  • Proven ability to run projects autonomously and deliver production-ready systems.
  • Exposure to secure API design, distributed systems, and microservices architecture.
  • Experience with CI/CD pipelines and containerization tools like Docker or Kubernetes.
  • Familiarity with infrastructure-as-code tools such as Terraform and observability platforms such as Datadog, Prometheus.
  • Excellent communication skills and a collaborative, inclusive mindset.
  • Upper-intermediate English level.

Perks and Benefits

  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.