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14 часов назад

Backend Software Engineer (AI-Enabled Development)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
SL
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Backend Software Engineer (AI-Enabled Development) (Backend, DevOps, AI): Building maintainable and scalable enterprise backend services with an accent on secure coding, automated testing, CI/CD, cloud-ready development, and AI-assisted engineering. Focus on designing APIs and microservices, improving observability and deployment automation, and solving performance, reliability, and security challenges.

Location: Colombo, Western Province, Sri Lanka. Hybrid work opportunities are available.

Company

hirify.global develops AI-enabled enterprise software solutions for customers worldwide.

What you will do

  • Design, develop, test, debug, and maintain scalable backend services and product components.
  • Implement unit, integration, and API tests while ensuring appropriate code coverage and software quality.
  • Contribute to CI/CD pipelines, automated deployment, container-ready development, logging, monitoring, and foundational DevSecOps practices.
  • Apply AI-assisted coding, refactoring, testing, documentation, architecture reviews, observability, and anomaly detection.
  • Create API specifications, architecture decisions, system designs, and other technical documentation.
  • Collaborate with requirement owners, architects, QA, platform engineering, and other stakeholders on solution design, estimation, validation, and continuous improvement.

Requirements

  • University degree in Software Engineering, Computer Science, or a related field.
  • Experience across the software development lifecycle and proficiency in at least one backend programming language.
  • Understanding of algorithms, data structures, design patterns, scalability, caching, indexing, secure coding, and OWASP fundamentals.
  • Understanding of DevOps principles, CI/CD pipelines, build and test automation, Docker, cloud-ready design, and observability basics.
  • Strong analytical, logical, and problem-solving skills, with the ability to work independently on medium-complexity tasks.
  • Ability to participate in technical discussions, collaborate across engineering functions, document design decisions, and support less experienced engineers.

Nice to have

  • Experience with Azure or other cloud platforms.
  • Experience with backend frameworks, REST APIs, and microservices.
  • Exposure to infrastructure as code, including Terraform.
  • Familiarity with agile methodologies and secure coding and testing practices.

Culture & Benefits

  • Hybrid work opportunities support flexibility while maintaining inclusive workplace connections.
  • Work in a global and diverse environment focused on collaboration, trust, innovation, and sustainability.
  • Participate in the adoption of AI tools and emerging AI capabilities across engineering.

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