Senior Backend Engineer ID63949

AgileEngine; Braga; Híbrido; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Mentorship

Flexible schedule

Competitive compensation

Education and fitness budgets

Exciting projects with top companies

Resumo da oferta

AgileEngine in Braga, Portugal is seeking a Senior Backend Engineer to design and maintain secure backend systems for a consumer dating platform. The ideal candidate should have 5+ years of Kotlin experience, 2+ years in AWS, and skills in AI tools. Responsibilities include driving projects from inception to delivery, supporting junior engineers, and contributing to engineering standards. The role offers competitive compensation and opportunities for professional growth with a flexible schedule.

Qualificações

• Minimum 5 years of experience in backend Kotlin software engineering.
• At least 2 years of experience in cloud environments, preferably AWS.
• Experience using AI-powered development tools integrated into workflows.
• Ability to run projects autonomously and deliver production-ready systems.
• Familiarity with secure API design and microservices architecture.
• Experience with CI/CD pipelines and containerization tools.
• Familiarity with infrastructure as code tools and observability platforms.
• Excellent communication skills and a collaborative mindset.
• Upper-intermediate English level.

Responsabilidades

• Design, implement, and maintain scalable backend systems using AWS.
• Drive projects from inception to delivery.
• Collaborate to ship new features and improvements.
• Apply AI-based tools to enhance productivity.
• Participate in architecture discussions and propose solutions.
• Support junior engineers through mentoring and code reviews.
• Contribute to engineering standards and best practices.

Conhecimentos

Kotlin software engineering

Cloud environments (AWS)

AI-powered development tools

Secure API design

Distributed systems

Microservices architecture

CI/CD pipelines

Docker/Kubernetes

Infrastructure as code (Terraform)

Observability platforms (Datadog, Prometheus)

English communication

Descrição da oferta de emprego

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.